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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Vegetalika Bumi Lestari LaGeografiA Bulletin of Electrical Engineering and Informatics Jurnal Arsitektur Lansekap Agrifor : Jurnal Ilmu Pertanian dan Kehutanan agriTECH Gontor AGROTECH Science Journal Jurnal Ilmiah Teknologi Pertanian Agrotechno JURNAL AGRILAND Jurnal Ilmiah Pertanian Agrin : Jurnal Penelitian Pertanian 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) Unram Journal of Community Service (UJCS) Jurnal DiMas (Jurnal Pengabdian Kepada Masyarakat) Warta LPM AGRIC
Bistok Hasiholan Simanjuntak
Universitas Kristen Satya Wacana
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REDESAIN SISTEM SIRKULASI, PARKIR DAN RAMBU-RAMBU LANSKAP KAMPUS 1 UNIVERSITAS KRISTEN SATYA WACANA Erik Kado Nugroho; Endang Pudjihartati; Bistok Hasioholan Simanjuntak
Agric Vol. 26 No. 1 (2014)
Publisher : Fakultas Pertanian dan Bisnis, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/agric.2014.v26.i1.p61-74

Abstract

Circulation, signage, and parking are important parts of planning and designing campus openspace landscape. This study aimed to redesign the circulation system, signage, and parking of the landscape of campus 1 Satya Wacana Christian University in order to resolve the prevailing problems. Analysis and synthesis (redesign) using the method of “Problem Solving” was applied by following these steps (1) inventories (primary and secondary data), (2) analysis, (3) synthesis, (4) planning, and (5) design. The results showed that the problem of circulation conflict between pedestrians and vehicle users will be overcame by adding pedestrian pathways which are tailored to user population. The lack of signages indicated that user’s navigation system was weak thus the campus open-space landscape required signpost and map. The illegal parking of four-wheeled vehicles caused disturbances in several spots of the open-space. This can be addressed by diversion of vehicles parked in a location that is available and assertion of parking or parking-ban signs. The material used in the process of redesigning the pedestrian pathways and signages applies design principles.
PENGARUH CAMPURAN MEDIA TANAM TERHADAP PERTUMBUHAN TANAMAN STROBERI (Fragaria vesca L.) SEBAGAI TANAMAN HIAS TAMAN VERTIKAL Naomi Endah Pratiwi; Bistok Hasiholan Simanjuntak; Dina Banjarnahor
Agric Vol. 29 No. 1 (2017)
Publisher : Fakultas Pertanian dan Bisnis, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/agric.2017.v29.i1.p11-20

Abstract

Research on the effects of growing medium mixtures of strawberry’s (Fragaria vesca L.) growth as ornamental plants in vertical garden was implemented from April to July 2016 in anexperimental field in Salaran Getasan Village. The purpose of this study were to 1) investigate the effects of different organic medium mixtures containing soil and rice husk, cocopeat, on compost banana stem on strawberry’s growth and 2) determine the best mixture for strawberry’s vertical system. The study was conducted using a randomized block design (RBD) with 10 treatments and four replications. The treatments included different compositions of soil and each material with a mixture ratio of 1: 1, 1: 2 and 2: 1. Data were analyzed using analysis of variance and DMRT at 5% of error level as well as correlation test. Mixing organic medium as rice husk, cocopeat and compost banana stem with soil provided a significant influence on the number of leaves, number of Mixing organic medium as rice husk, cocopeat and compost banana stem with soil provided a significant influence on the number of leaves, number of shoot and shoot’s dry weight. The best growing medium mixture for strawberry’s growth was soil and rice husk with a ratio 2:1.  
Kandungan Klorofil, Pertumbuhan dan Hasil Vertikultur Padi (Oryza sativa L.) Varietas Situ Bagendit Nugraheni Widyawati; Maria Marina Herawati; Theresa Dwi Kurnia; Djoko Murdono; Bistok Hasiholan Simanjuntak; Andree Wijaya Setiawan
Vegetalika Vol 12, No 3 (2023): In Publish
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/veg.83196

Abstract

Salah satu cara menyiasati produksi padi efisien lahan adalah menerapkan vertikultur menggunakan rak bertingkat. Penelitian ini bertujuan untuk mengetahui pengaruh perbedaan posisi tanaman pada rak vertikal terhadap kandungan klorofil dan beberapa komponen pertumbuhan maupun hasil tanaman padi varietas Situ Bagendit dan menentukan posisi tanaman pada rak vertikal yang memberikan hasil tertinggi. Penelitian dilakukan di Kebun Percobaan Fakultas Pertanian dan Bisnis UKSW di kota Salatiga, terletak pada ketinggian 455 meter dpl. Perlakuan posisi tanaman pada rak vertikal terdiri atas 3 posisi yaitu posisi dasar (lantai 1), tengah (lantai 2) dan teratas (lantai 3) diletakkan di ruang terbuka (open field), masing-masing diulang sembilan kali. Tanaman padi dibudidayakan dalam ember plastik menggunakan media dari tanah sawah. Parameter pengamatan meliputi intensitas radiasi matahari, kandungan klorofil daun, tinggi tanaman, jumlah daun, jumlah anakan, jumlah malai, panjang malai, jumlah biji, berat biji per malai dan berat gabah bernas.  Data hasil percobaan dianalisis menggunakan ANOVA, standar deviasi, korelasi dan BNT 5%. Hasil percobaan menunjukkan bahwa terdapat perbedaan dalam penerimaan intensitas radiasi matahari, kandungan klorofil, karakter pertumbuhan dan hasil tanaman padi pada vertikultur, kecuali parameter panjang malai. Hasil tanaman padi terbaik terdapat pada tanaman di posisi teratas yaitu lantai 3 dari rak vertikal.
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.
Landslide hazard assessment and agricultural vulnerability using a geospatial approach Rian Gabriel Girsang; Bistok Hasiholan Simanjuntak
Jurnal Ilmiah Pertanian Vol. 21 No. 1 (2024): Jurnal Ilmiah Pertanian
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jip.v21i1.16105

Abstract

The village of Cukilan, Semarang Regency, Indonesia, is predominantly utilized for agricultural purposes, facilitated by its high rainfall suitable for various crops. Despite the benefits it provides to farmers, the elevated rainfall also poses natural disaster risks, particularly landslides, which can adversely affect surrounding communities. This study aims to map landslide potentials and evaluate their impacts on the agricultural sector in the Cukilan Village, Semarang Regency. The research methodology encompasses a literature review focusing on landslide potential estimation and field survey. The literature review aims to obtain landslide potential distribution maps compiled by DVMBG, considering rainfall, slope, geology, land use, and soil types. Field surveys validate conditions based on landslide potential estimations, involving random soil sampling and analyzing parameters like permeability, texture, bulk density, depth, and surface density. The research findings reveal the impact of landslide potential on the agricultural sector and the mapping of landslide potential areas in Cukilan Village, depicting various risk levels: very high (0.71% of total area, covering 5 ha), high (13.24%, 93 ha), moderate (56.55%, 397 ha), and low (29.48%, 207 ha). Based on these findings, it is evident that managing landslide disaster risks in agricultural development in the area is crucial, including the implementation of safer land use planning and appropriate mitigation strategies.
Water balance optimization for strategic planting patterns and calendars in paddy (Oryza sativa L.) cultivation in rainfed regions Feri Yoga; Bistok Hasiholan Simanjuntak
Jurnal Ilmiah Pertanian Vol. 21 No. 2 (2024): Jurnal Ilmiah Pertanian
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jip.v21i2.19958

Abstract

Paddy (Oryza sativa L.) is a staple food crop in Indonesia that requires more water compared to other annual crops. Cultivating paddy in rainfed areas necessitates effective water management to prevent crop failure, making it essential to calculate water balance, planting patterns, and planting calendars. This study aims to analyze the water balance in relation to planting patterns and calendars based on water availability in the field. The research was conducted in Cukilan Village, Semarang Regency, Indonesia. A descriptive quantitative method using Cropwat 8.0 was employed to determine water balance, planting patterns, and planting calendars. The results indicate that from November to April, there is a water surplus, while from May to October, there is a water deficit. Planting can be conducted once per growing season with two possible periods: November-March or December-April. During Period I (November-March), the water requirement is 640.7 mm with effective rainfall of 1031.2 mm. In Period II (December-April), the water requirement is 638 mm with effective rainfall of 935.7 mm. Planting should begin in November or December, with harvest in March or April. From May to October, the land remains fallow due to insufficient water availability. These findings are valuable for enhancing the effectiveness of paddy cultivation in rainfed areas, assisting farmers with planting planning, and minimizing the risk of crop failure due to water scarcity.
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.
Co-Authors - Mustoyo - Susilawati Adi Nugroho Agus, Yohanes Hendro Alfred Jansen Sutrisno Andhika, Gideon Febby Prima Andree Wijaya Setiawan Bangun, Yurin Bayu Nuswantara Christanto, Erwien Dina Rotua Valentina Banjarnahor Djoko Murdono Endang Pudjihartati Eriandra Budhisurya Erik Kado Nugroho Feri Yoga Jatiningrum, Setia Humani 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 Naomi Endah Pratiwi Nikodemus Heru Prayuda Nugraheni Widyawati P, Ratna Dewi Puas Andrew Alvianto Purnama, Dwi Juli Purwoko, Agus Putra, Imanuel Trisya Putri, Christina Ari Pramono R. C. W. Anggono Rejo Wagiman Rian Gabriel Girsang Roynaldo Kristi Sri Hartini Sri Yulianto Joko Prasetyo Suprihati Susatyo, Yeremia Alfa Theresa Dwi Kurnia Trias Budi Rahayu Velian Sandy Wardana Wiwin Sulistyo Yoga Aji Handoko Yohanes Hendro Agus Yuliawati Yusthian Hendra Mahardika