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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Vegetalika Bumi Lestari Jurnal AGROTEKNOLOGI LaGeografiA Bulletin of Electrical Engineering and Informatics JURNAL ILMU PERTANIAN Agrifor : Jurnal Ilmu Pertanian dan Kehutanan Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) agriTECH Gontor AGROTECH Science Journal JURNAL AGRILAND Jurnal Ilmiah Pertanian Jurnal Pertanian Terpadu Agrin : Jurnal Penelitian Pertanian JMM (Jurnal Masyarakat Mandiri) Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Indonesian Journal of Computing and Modeling Cakrawala Jurnal Penelitian Sosial Agroteknika Best Journal (Biology Education, Sains and Technology) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Unram Journal of Community Service (UJCS) Jurnal DiMas (Jurnal Pengabdian Kepada Masyarakat) Warta LPM AGRIC
Bistok Hasiholan Simanjuntak
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Assessment of Factors Affecting Agricultural Soil Damage in the Upper Stream Sub-Watershed Velian Sandy Wardana; Bistok Hasiholan Simanjuntak
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 12, No 3 (2023): September 2023
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v12i3.559-570

Abstract

Soil damage can be caused naturally or by human activities. Potential areas that have high soil damage are sub-watershed areas and one of them is the Upper Serang Sub-watershed in Central Java. Assessment of potential and actual land damage will help to make wise land use planning. This research aims to assess actual and potential soil damage and the factors affecting the Upper Serang Sub-watershed. This research used descriptive quantitative and qualitative methods, where quantitative descriptive methods were used to assess soil damage and descriptive qualitative methods were used to determine farmer activity factors about soil conservation. The research result, that potential soil damage was included in the highly class soil damaged category with limiting factors are high rainfall of around > 2500 mm/year, slopes that exceed 25% (25-40% and >40%), soil type was dominated by Inceptisol soil and land use dominated by the moor. Meanwhile, actual soil damage has a slightly soil-damaged class with the limiting factors being permeability, redox potential, and the combined permeability and the soil fraction composition. Actual soil damage has a slightly soil-damaged class (RI) because farmers have taken soil conservation measures by mechanical methods dominant. Future efforts that farmers must do are to increase soil conservation measures with a combination of mechanical and biological conservation methods. Keywords: Actual soil damage, Potential soil damage, Upper Serang Sub-watershed.
Increasing the Knowledge of Women Farmer Through Household Counseling on Food Safety in Sumberejo Village, Magelang Regency Maria Marina Herawati; Yoga Aji Handoko; Alfred Jansen Sutrisno; Maria Maria; Liska Simamora; Yuliawati Yuliawati; Bayu Nuswantara; Bistok Hasiholan Simanjuntak
Unram Journal of Community Service Vol. 5 No. 2 (2024): June
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v5i2.655

Abstract

Food safety is the condition and effort needed to prevent food from three possible contaminations, namely: biological, chemical and other contamination that can disturb, harm and endanger human health. Sumberejo Village is a Partner of Faculty of Agriculture and Business, Universitas Kristen Satya Wacana. Sumberejo Village has potential resources in the form of vegetables. It is supported by climate and temperature conditions that are suitable for vegetable production. One of the superior commodities produced in Sumberejo Village is beetroot fruit. Processing agricultural products into processed food products is an effort to increase economic value when prices fall or during harvest time. Processing beet tubers into processed products such as cookies, beetroot tea bags, cakes are one way to reduce losses due to falling prices and increase the selling value of beet tubers. Knowledge and safe food processing practices are very necessary in food processing activities. Through food safety education activities, it is hoped that the women farming community in Sumberejo village will be able to process beet tubers in accordance with the concept of food safety. The aim of this Community Service activity is to provide knowledge and understanding of female farmers in Sumberejo Village regarding food safety and efforts to prevent contamination during food processing and producing food that is safe for consumption by the community. Based on the results of implementing safety education activities in Sumberejo Village, it can be concluded that there has been an increase in knowledge about food safety. It can be seen in the results of the questionnaire that knowledge about food safety is important because it concerns health
Arahan Sistem Pertanian Ideal Berbasis Potensi Sumberdaya Lahan: Komponen Dasar Cukilan Smart Village Setiawan, Andree Wijaya; Simanjuntak, Bistok Hasiholan; Handoko, Yoga Aji; Agus, Yohanes Hendro; Trisunaryanto, Lasmono; Maria, Maria; Nugroho, Adi; Tambotoh, Johan Jimmy Carter
Warta LPM WARTA LPM, Vol. 27, No. 2, Juli 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/warta.v27i2.4812

Abstract

In recent years, the concept of smart villages has gained increasing prominence as a means of encouraging sustainable development in rural areas. This is particularly relevant in the agricultural sector, where the potential of land resources is crucial. Cukilan Village, located in Suruh District, Semarang Regency, Central Java, is primarily an agricultural area, with over 80% of its land designated for agricultural purposes. The village government has expressed a desire to develop Cukilan as a smart village through an FGD process. Based on this background, a community service program was implemented with the aim of designing Cukilan Village as a smart village in stages, to enhance economic growth and prosperity by leveraging the potential of agricultural resources and human resources, as well as accelerating the village development process. The method for implementing this PKM (Community Service) program utilized the Assets-Based Community Development (ABCD) approach, which involved outreach, discussion, mapping of agroecological zones, as well as land suitability and evaluation. As a result of this initiative, the Cukilan Village government received guidance for an ideal agricultural system based on land resource potential, which serves as a basic component towards the realization of Cukilan Smart Village.
Computer model for detecting tsunami wave hazard on built-up land using machine learning and sentinel 2A satellite imagery Joko Prasetyo, Sri Yulianto; Sulistyo, Wiwin; Christanto, Erwien; Hasiholan Simanjuntak, Bistok
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1535-1546

Abstract

The aim of this research is to compile a tsunami wave hazard scale based on built-up land density extracted and classified by machine learning from Sentinel 2A satellite and digital elevation model (DEM) imageries. This research was carried out in 5 stages, namely: (i) pre-processing of Sentinel 2A and DEM images, (ii) Classification of VI data using the machine learning algorithms, (iii) Spatial prediction using the ordinary kriging method, (iv) Field testing using the confusion matrix method, (v) Preparation of decision matrix for tsunami wave hazard. The results of the study show that the most accurate classification algorithm for classifying built-up indices data is the k-nearest neighbor (k-NN) algorithm. The results of the statistical accuracy test show that the most accurate is normalized difference built-up index (NDBI) with a mean of square error (MSE) value of 0.073 and a mean of absolute error (MAE) of 0.003. DEM analysis shows that the research area is at an altitude of 0–15 meters above sea level so it is in the high vulnerability to medium vulnerability category. Field testing showed user accuracy of 91.11%, manufacturer accuracy of 92.16%, and overall average accuracy of 91%.
A machine learning-based computer model for the assessment of tsunami impact on built-up indices using 2A Sentinel imageries Joko Prasetyo, Sri Yulianto; Simanjuntak, Bistok Hasiholan; Susatyo, Yeremia Alfa; Sulistyo, Wiwin
Bulletin of Electrical Engineering and Informatics Vol 13, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i2.5910

Abstract

This study aims to build a computer model to detect built-up land in the identified tsunami hazard zone based on Sentinel 2A imagery using the normalized built up area index (NBI), urban index (UI), normalize difference build-up index (NDBI), a modified built-up index (MBI), index-based builtup index (IBI) algorithms, optimized with machine learning Random Forest (RF) and extreme gradient boosting (XGboost) algorithms and the spatial patterns are predicted using the ordinary kriging (OK) method. Testing of the accuracy of the classification and optimization results was performed using the Kohen Kappa and overall accuracy functions. The results of the study show that a built-up land consisting of open land and water, settlements, industry areas, and agriculture and tourism areas can be identified using the parameters of built-up indices. The accuracy testings that were performed using overall accuracy and Kohen Kappa methods show that classification and prediction are highly accurate using XGboost machine learning, namely 91%. This study produces a novelty of finding, namely a computer model to detect and predict the spatial distribution of built-up land in 4 scales, i.e., very low, low, high, and very high based on NBI, UI, NDBI, MBI, IBI data extracted from Sentinel 2A imagery.
Penggunaan Citra Satelit Dalam Menentukan Indeks Hijau Kampus 1 UKSW Salatiga Dengan Pemanfaatan Metode Normalized Difference Vegetation Index (NDVI) Purnama, Dwi Juli; Simanjuntak, Bistok Hasiholan
BEST Journal (Biology Education, Sains and Technology) Vol 7, No 1 (2024): Juni 2024
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v7i1.9948

Abstract

Berkembangnya pembangunan pada kawasan Kampus 1 UKSW menyebabkan berkurangnya lahan vegetasi, sehingga akan berdampak pada tidak tercapainya pemenuhan ekosistem hijau kampus. Diperlukan penelitian awal untuk melihat bagaimana kondisi ekosistem hijau. Tujuan penelitian ini menghitung luasan RTH, menentukan sebaran indeks hijau Kampus 1 UKSW dengan menggunakan sistem informasi geografis, Normalized Difference Vegetation Index (NDVI). RTH yang didapatkan memiliki luas 2,86 hektar dengan persentase 34% dari total luas lahan 8,29 hektar. Sedangkan sebaran indeks hijau terdapat 4 kelas vegetasi yaitu non vegetasi, kemudian 3 kelas lainnya memiliki persentase luas dari sebaran indeks hijau non vegetasi – sangat rendah dengan persentase 12%, sangat rendah – rendah dengan persentase 19%, dan rendah – sedang dengan persentase 3%. Setiap kelas tersebut memiliki berbagai macam jenis vegetasi kecuali kelas non vegetasi hanya ada bangunan. Kelas non vegetasi – sangat rendah didominasi bangunan namun ada beberapa jenis vegetasi, kelas sangat rendah – rendah memiliki vegetasi yang beragam dan tidak didominasi oleh wilayah terbangun, kelas rendah – sedang vegetasinya didominasi oleh pohon besar dengan wilayah terbangun yang sedikit. RTH yang tersedia serta bangunan disekitarnya akan berdampak pada pola sebaran indeks hijau yang ada pada RTH Kampus 1 UKSW
Penilaian Kuantitatif Terhadap Potensi dan Index Bahaya Erosi Nikodemus Heru Prayuda; Bistok Hasiholan Simanjuntak
Agroteknika Vol 7 No 3 (2024): September 2024
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/agroteknika.v7i3.267

Abstract

Erosi tanah merupakan salah satu penyebab terjadinya penurunan kesuburan tanah sehingga menyebabkan penurunan produktivitas pertanian di berbagai belahan dunia. Analisis penentuan potensi erosi tanah dan indeks bahaya erosi secara kuantitatif bermanfaat untuk menentukan tindakan konservasi tanah. Tujuan penelitian ini untuk mengetahui besarnya kelas potensi erosi dan indeks bahaya erosi di wilayah kajian. Penelitian ini menggunakan metode kombinasi kuantitatif-kualitatif-deskriptif. Analisis potensi erosi menggunakan metode USLE dan software GIS 10.8. Hasil kajian menunjukkan, secara kuantitatif Potensi Erosi Tanah (A) di wilayah kajian terbagi menjadi 5 kategori, yaitu kategori sangat ringan (A<15 Ton/Ha/Tahun) seluas 11,40 Ha, kategori ringan (15<A<60 Ton/Ha/Tahun) seluas 79,01 Ha, kategori sedang (60<A<180 Ton/Ha/Tahun) seluas 337,72 Ha, kategori berat (180<A<480 Ton/Ha/Tahun) seluas 179,15 Ha, dan kategori sangat berat (A>480 Ton/Ha/Tahun) seluas 95,48 Ha. Disamping itu, Indeks Bahaya Erosi (IBE) di wilayah kajian terbagi menjadi 4 harkat yaitu harkat rendah (IBE<1,0) seluas 19,83 Ha, harkat sedang (1,01<IBE<4,0) seluas 118,50 Ha, harkat tinggi (4,0<IBE<10,0) seluas 319,13 Ha, dan harkat sangat tinggi (IBE<10,0) seluas 245,3 Ha.
Penggunaan Citra Satelit Dalam Menentukan Indeks Hijau Kampus 1 UKSW Salatiga Dengan Pemanfaatan Metode Normalized Difference Vegetation Index (NDVI) Purnama, Dwi Juli; Simanjuntak, Bistok Hasiholan
BEST Journal (Biology Education, Sains and Technology) Vol 7, No 1 (2024): Juni 2024
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v7i1.9948

Abstract

Berkembangnya pembangunan pada kawasan Kampus 1 UKSW menyebabkan berkurangnya lahan vegetasi, sehingga akan berdampak pada tidak tercapainya pemenuhan ekosistem hijau kampus. Diperlukan penelitian awal untuk melihat bagaimana kondisi ekosistem hijau. Tujuan penelitian ini menghitung luasan RTH, menentukan sebaran indeks hijau Kampus 1 UKSW dengan menggunakan sistem informasi geografis, Normalized Difference Vegetation Index (NDVI). RTH yang didapatkan memiliki luas 2,86 hektar dengan persentase 34% dari total luas lahan 8,29 hektar. Sedangkan sebaran indeks hijau terdapat 4 kelas vegetasi yaitu non vegetasi, kemudian 3 kelas lainnya memiliki persentase luas dari sebaran indeks hijau non vegetasi – sangat rendah dengan persentase 12%, sangat rendah – rendah dengan persentase 19%, dan rendah – sedang dengan persentase 3%. Setiap kelas tersebut memiliki berbagai macam jenis vegetasi kecuali kelas non vegetasi hanya ada bangunan. Kelas non vegetasi – sangat rendah didominasi bangunan namun ada beberapa jenis vegetasi, kelas sangat rendah – rendah memiliki vegetasi yang beragam dan tidak didominasi oleh wilayah terbangun, kelas rendah – sedang vegetasinya didominasi oleh pohon besar dengan wilayah terbangun yang sedikit. RTH yang tersedia serta bangunan disekitarnya akan berdampak pada pola sebaran indeks hijau yang ada pada RTH Kampus 1 UKSW
Hilirisasi hingga Komersialisasi Teh Bit Celup: Suatu Proses Pemberdayaan Masyarakat Desa Sumberejo, Magelang Handoko, Yoga Aji; Jatiningrum, Setia Humani; Putri, Christina Ari Pramono; Manao, Nancy Felicia; Jayanti, Malta Puspita; Putra, Imanuel Trisya; Simanjuntak, Bistok Hasiholan
Jurnal Dimas Vol 7 No 1 (2025): Jurnal Pengabdian Kepada Masyarakat
Publisher : SEKOLAH TINGGI ILMU FARMASI YAYASAN PHARMASI SEMARANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53359/dimas.v7i1.103

Abstract

Beta vulgaris L. atau umbi bit merah adalah komoditas hortikultura unggulan Desa Sumberejo, Kecamatan Ngablak, Kabupaten Magelang. Umbi ini mempunyai manfaat kesehatan yang baik, karena mengandung antioksidan betasianin yang tinggi. Namun demikian, petani seringkali mengalami kerugian karena harga penjualan umbi bit segar yang cenderung di bawah dari harga pokok produksi. Tujuan dari pengabdian masyarakat yaitu meningkatkan kesejahteraan masyarakat Desa Sumberejo melalui proses pendampingan hilirisasi hingga komersialisasi produk teh celup bit. Pendampingan hilirisasi dilakukan mulai penciptaan inovasi produk olahan teh bit celup dengan memperoleh hak paten invensi, Sertifikat P-IRT, serta Sertifikat Halal, pelatihan Good Handling Practices dan Good Manufacturing Practices dalam produksi teh bit celup; penyusunan proposal kelayakan usaha; serta pendirian infrastruktur, pengadaaan alat produksi, dan pembuatan proptype produk teh bit celup. Proses pemberdayaan ekonomi melalui aspek komersialisasi teh bit celup dengan merek “Bieten Thee” juga telah dilakukan mulai: standarisasi kualitas produks, pemasaran, hingga distribusi. Hasil kegiatan hilirisasi teh bit celup ini menjadi model dan terebosan pertama masyarakat Desa Sumberejo dalam menaikkan nilai tambah hasil pertanian. Kata kunci: Beta vulgaris L., hilirisasi, komersialisasi, pemasaran, teh bit celup Beta vulgaris L. or red beetroot is a superior horticultural commodity of Sumberejo Village, Ngablak District, Magelang Regency. This tuber has good health benefits because it contains high levels of betacyanin antioxidants. However, the farmers often experience losses because the selling price of fresh beetroot tends to be below the cost of production. The aim of community service is to improve the welfare of the people of Sumberejo Village through the process of assisting the downstream process to the commercialization of beetroot tea bag products. Downstream assistance is carried out starting from the creation of innovations in processed beetroot tea bag products by obtaining invention patents, P-IRT Certificates, and Halal Certificates, training in Good Handling Practices and Good Manufacturing Practices in the production of beetroot tea bags; preparation of business feasibility study; as well as the establishment of infrastructure, procurement of production equipment, and the manufacture of beetroot tea bag prototypes. The process of economic empowerment through the commercialization of beetroot tea bags with the brand "Bieten Thee" has also been carried out starting from: standardization of product quality, marketing, until distribution. The results of the downstreaming of beetroot tea bags have become a model and the first breakthrough for the people of Sumberejo Village in increasing the added value of agricultural products. Keywords: Beta vulgaris L., beetroot tea bags, commercialization, downstream, marketing
PESTS INTENSITY IN POTATO (Solanum tuberosum) AND FABA BEAN (Vicia faba) INTERCROPPING IN SALARAN, GETASAN DISTRICT, SEMARANG REGENCY Setiawan, Andree Wijaya; Simanjuntak, Bistok Hasiholan; Andhika, Gideon Febby Prima
Agric Vol. 36 No. 1 (2024)
Publisher : Fakultas Pertanian dan Bisnis, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/agric.2024.v36.i1.p113-130

Abstract

Tropical regions face threats from pests, leading to significant losses in the global potato supply. Intercropping potatoes with faba beans is being explored to control pest infestations in tropical areas. This study aims to provide insights into pest dynamics and improve pestmanagement strategies for sustainable potato cultivation. The research evaluates five cropping systems, each replicated across seven beds: potato monoculture, alternating growth of potatoes and faba beans at a 2:1 ratio, planting faba beans between the rows of potatoes at a 1:1 ratio, growing faba beans between two beds of potatoes, and cultivating solely faba beans. The study looked at various factors such as the type and intensity of pest attacks on potatoes. It found that planting faba beans alongside potatoes can help reduce aphid (Homoptera: Aphididae) and mirid bug (Hemipetra: Miridae) attacks, but may not affect grasshopper (Orthoptera: Acrididaeand Pyrgomorphidae) attacks. The distance between potato beds and the population of faba bean plants can also influence pest interactions. Understanding these dynamics offers important information for sustainable pest management practices in intercropping systems.
Co-Authors - Mustoyo - Susilawati Adi Nugroho Agus, Yohanes Hendro Alfred Jansen Sutrisno Andhika, Gideon Febby Prima Andree Wijaya Setiawan Anugraheni, Eliza Bangun, Yurin Bayu Nuswantara Christanto, Erwien Christina Ari Pramono Putri Damara Dinda Nirmalasari Zebua Dina Rotua Valentina Banjarnahor Djoko Murdono Donna Setiawati Endang Pudjihartati Eriandra Budhisurya Erik Kado Nugroho Gintu, Agung Rimayanto Girsang, Rian Gabriel Jatiningrum, Setia Humani Jawang, Uska Peku Jayanti, Malta Puspita Johan Jimmy Carter Tambotoh Lasmono Tri Sunaryanto Liska Simamora Manao, Nancy Felicia Maria Maria Maria Maria Maria Marina Herawati Muhammad Syaiful Afrizal Mustikasari, Rosita Naomi Endah Pratiwi Nikodemus Heru Prayuda Ningrum, Priskilah Febi Widya Nugrahanto, Bernardinus Arga Nugraheni Widyawati P, Ratna Dewi Puas Andrew Alvianto Purnama, Dwi Juli Purwoko, Agus Putra, Imanuel Trisya R. C. W. Anggono Rejo Wagiman Roynaldo Kristi Saputra, Delfio Arga Savitri, Galuh Windi Sigar, Abner Darmawan Sri Hartini Sri Yulianto Joko Prasetyo Suprihati Suprihati Suprihati - Susatyo, Yeremia Alfa Susetyo, Yefta Audy Theresa Dwi Kurnia Tinjung Mary Prihtanti Trias Budi Rahayu Velian Sandy Wardana Wagiman, Rejo Wiwin Sulistyo Yoga Aji Handoko Yoga, Feri Yohanes Hendro Agus Yuliawati Yusthian Hendra Mahardika Zai, Novice Enrich Zendrato, Yuniel Melvanolo