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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal Information System Development ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Sistem Informasi Kaputama (JSIK) Building of Informatics, Technology and Science Majalah Ilmiah Warta Dharmawangsa JTIK (Jurnal Teknik Informatika Kaputama) JUKI : Jurnal Komputer dan Informatika Jurnal Manajemen Informatika Jayakarta Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Journal of Vision and Ideas (VISA) Jurnal Pengabdian Masyarakat IPTEK EXPLORER Bulletin of Multi-Disciplinary Science and Applied Technology Journal Of Human And Education (JAHE) Journal of Information Systems and Technology Research Sci-Tech Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Ulead : Jurnal E-pengabdian Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) JOURNAL OF ICT APLICATIONS AND SYSTEM Jurnal Teknik, Komputer, Agroteknologi dan Sains Zadama: Jurnal Pengabdian Masyarakat International Journal of Health, Engineering and Technology Jurnal Penelitian Sistem Informasi Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Pengabdian Pendidikan Indonesia (PPI) Jurnal Ilmu Komputer dan Sistem Informasi Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Saturnus: Jurnal Teknologi dan Sistem Informasi KETIK : Jurnal Informatika Ulil Albab Pascal: Journal of Computer Science and Informatics Journal of Computer Science Artificial Intelligence and Communications Jurnal Ilmu Komputer dan Teknik Informatika Jurnal Pengabdian Masyarakat Berdampak
Rusmin Saragih, Rusmin
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Analysis of Village Residents Receiving Social Assistance Using Linear Regression Method Rafli Fitriawan; Saragih, Rusmin; Ambarita, Indah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.677

Abstract

This study aims to analyze the recipients of social assistance in Banyumas Village using the simple linear regression method. The research examines how household income affects the amount of social assistance received. Data was collected from the Banyumas Village Office, including information on income and the amount of social assistance received by residents. The results show a negative relationship between household income and the amount of assistance received, where higher income leads to smaller assistance. The model also demonstrates good accuracy with an average prediction error (MAPE) of 9.38%. Additionally, an R² value of 0.999972 indicates that the model can explain almost all variations in the data. This study provides valuable insights into the effectiveness of the social assistance program in Banyumas Village and to help improve the program in the future.
Systematic Literature Review on the Application of Convolutional Neural Networks for Rambutan Fruit Classification: Advances, Challenges, and Future Directions Meisaroh; Tantia Azzahra; Ismi Asmita; Fatimah; Rusmin Saragih
Journal of ICT Applications System Vol 3 No 2 (2024): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56313/jictas.v3i2.393

Abstract

Rambutan (Nephelium lappaceum L.) is a tropical fruit widely cultivated in Southeast Asia, including Indonesia. Manual classification of rambutan types and ripeness levels remains a challenge due to the high subjectivity and time-intensive nature of the process, particularly in large-scale agricultural operations. Convolutional Neural Network (CNN), a deep learning approach, offers significant potential in automating and improving the accuracy of fruit classification tasks by extracting complex visual features such as color and texture. This study employs a Systematic Literature Review (SLR) to evaluate the application of CNN in rambutan classification. Relevant research from 2019 to 2024 was analyzed to identify trends, accuracy levels, and challenges in utilizing CNN for this purpose. Results demonstrate that CNN achieves superior accuracy (>90%) compared to traditional methods like K-Nearest Neighbor (KNN). However, limitations include restricted dataset diversity and insufficient testing under real-world conditions. Recommendations for future research emphasize the need for larger, more diverse datasets and integration of additional media, such as spectral data and video, to enhance model robustness
Diagnosa Penyakit Lambung Menggunakan Metode Case Base Reasoning (CBR) Sirait, Win Gomgom Parsaulian; Saragih, Rusmin; Novriyenni, Novriyenni
Jurnal Warta Dharmawangsa Vol 18, No 4 (2024)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/wdw.v18i4.5081

Abstract

Diagnosa Penyakit pada Jamur Tiram Putih menggunakan Metode Dempster Shafer: ( Studi Kasus : Omah Jamur Tiram Stabat ) Alfina Damayanti; Novriyenni Novriyenni; Rusmin Saragih
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 5 (2024): Oktober : Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i5.358

Abstract

: Oyster mushrooms are one of the popular horticultural products in the community, with a significant increase in demand from year to year. However, farmers often face difficulties in identifying and preventing diseases that attack oyster mushroom plants, which have an impact on production stability. To overcome this problem, this study aims to design an expert system that can diagnose diseases in white oyster mushrooms using the Dempster Shafer Method. This system is designed to provide accurate diagnostic information and solutions to deal with diseases in oyster mushrooms, so as to improve the quality and quantity of production. This study also strengthens previous studies using the Certainty Factor method, with an emphasis on the use of expert knowledge to overcome disease problems in oyster mushroom cultivation. The case study was conducted at Omah Jamur Tiram Stabat, where the results of the implementation are expected to increase the effectiveness and efficiency of oyster mushroom cultivation in the area.
Menyusun Rencana Keuangan Tahunan Rumah Tangga Di Desa Semangat Gunung Kecamatan Merdeka Kabupaten Karo Sumatera Utara Loo, Petrus; Sihombing, Nikous Soter; Saragih, Rusmin; Dewantara, Nowell; Sihombing, Marto; Sitorus, Erbin; Sianturi, Charles Jhony Mantho
Journal Of Human And Education (JAHE) Vol. 5 No. 1 (2025): Journal of Human And Education (JAHE)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jh.v5i1.2217

Abstract

Setiap Keluarga harus dapat menyusun rencana keuangan tahunan rumah tangga sehingga dapat melakukan pengelolaan keuangan dengan efektif, efisien dan bermanfaat. Dengan menyusun rencana tahunan dapat membantu setiap rumah tangga untuk mengatur dan mengelola keuangan dengan meyeimbangkan antara pemasukan dengan pengeluaran keluarga sehingga dapat mencukupi kebutuhan keluarga dan menciptakan kehidupan rumah tangga yang bahagia dan sejahtera. Pelaksanaan pengabdian kepada masyarakat di Desa Semangat Gunung Kecamatan Merdeka Kabupaten Karo Sumatera Utara yang diadakan di Aula Kantor Desa yang dihadiri oleh Kepala Desa, Aparat Desa dengan peserta pelatihan Ibu-Ibu Rumah Tangga. Pelatihan dilaksanakan dengan tujuan untuk menambah pengetahuan dan wawasan Ibu - Ibu rumah tangga dalam melakukan perencanaan keuangan tahunan. Dengan adanya pelatihan ini diharapkan Ibu-Ibu rumah tangga dapat melakukan perencanaan keuangan setiap tahunnya disetiap keluarga sehingga dapat mengelola keuangan yang diperoleh dari penghasilan maupun gaji yang dihasilkan setiap keluarga. Keseimbangan antara pemasukan dan pengeluaran keluarga dapat menghindarkan kita dari perilaku konsumtif. Perilaku Konsumtif dapat dihindari dengan cara membuat menu makanan setiap minggu, belanja-belanja bahan sesuai catatan dan menabung uang atau emas. Kata Kunci : perencanaan keuangan, pengelolan keuangan
Diagnosa Penyakit Turunan (Heraditas) Imbisil Pada Manusia Dengan Metode Dempster Shafer Nasril Hidayat; Rusmin Saragih; Husnul Khair
ULIL ALBAB : Jurnal Ilmiah Multidisiplin Vol. 1 No. 10: September 2022
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Hereditas pada manusia mempelajari mengenai macam penurunan termasuk sifat dan kelainan pada manusia, penurunan sifat pada manusia dibedakan menjadi dua, yaitu sifat yang terpaut koromosom tubuh (autosomal), dan sifat terpaut kromosom sek (gonosomal), sedangkan imbisil adalah penyakit ganguan mental yang merupakan sikubat dari kelainan fenilketonuria (FKU). Oleh karena itu penulis ingin membuat suatu sistem dimana sistem ini dapat digunakan untuk membantu pasien dalam melakukan konsultasi secara pribadi tanpa harus membuang waktu/menghabiskan banyak biaya. Sistem pakar adalah sistem berbasis komputer yang menggunakan pengetahuan, fakta, dan tehnik penalaran dalam memecahkan masalah yang biasanya hanya dapat dipecahkan oleh seorang pakar dan untuk Dempster Shafer ialah kombinasi dan propogasi ketidakpastian, dimana teori ini memiliki beberapa karakteristik yang secara instutitif sesuai dengan cara berfikir seorang pakar, namun dasar matematika dan delah dilakukan konsultasi dari perhitungan dengan metode Dempster Shafer, gejala tersebut yang telah dihitung untuk gejala yang dialami oleh pasien nilai yang paling tinggi adalah 0.71 adalah (P03) yaitu sebesar 0,71 atau jika dijadikan presentasi adalah sebesar 71%.
CLASSIFICATION OF HOUSEHOLD VIOLENCE (KDRT) CASES BASED ON CAUSING FACTORS USING CLUSTERING METHOD Aprilianda, Dinda; Saragih, Rusmin; Saripurna, Darjat
Journal of Mathematics and Technology (MATECH) Vol. 2 No. 2 (2023): Journal MATECH (November 2023)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v2i2.146

Abstract

Domestic violence is a violation of human rights and a crime against human dignity and is a form of discrimination. Therefore, no matter how small the violence committed can be reported as a criminal act that can be processed by law. The Office of Women's Empowerment, Child Protection, Population Control and Family Planning has the task of solving problems that often occur in cases of domestic violence (KDRT) against someone, especially women, which results in physical, sexual, psychological, and/or misery or suffering. household neglect including threats to commit acts, coercion, or unlawful deprivation of liberty within the household sphere. therefore it is necessary to have an application that can process this data based on age, type of violence and causal factors to be used as information specifically about cases of domestic violence so that it is easier for the community to understand later. This was created to overcome the problem of extracting important information from a data set of domestic violence cases based on the causative factors at the agency using the k-means clustering method which will be built later. From the results of research conducted using a sample of 20 data, it can be concluded that the most common data are in cluster 2 with data on cases of domestic violence (KDRT) based on many causal factors with a total of 7 data and located in the age group (X ) is aged 17-25 years, and for the type of violence group (Y) that is carried out is Abuse and the causal factors (Z) which mostly occur due to External Factors / Divorce.
IMPLEMENTASI METODE SMART DALAM PEMILIHAN ALAT KONTRASEPSI PADA PASANGAN USIA SUBUR STUDI KASUS : PUSKESMAS KOTA DATAR Rahmawati, Rahmawati; Syari, Milli Alfhi; Saragih, Rusmin
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 1 (2024): Journal MATECH (May 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i1.166

Abstract

This research implements the SMART (Specific, Measurable, Achievable, Relevant, and Time-bound) Method in the selection of contraceptives for couples of reproductive age at the Kota Datar Health Center. The aim is to assist couples in making informed decisions by ensuring that their contraceptive choices are specific, measurable, achievable, relevant, and time-bound. The study's findings are expected to help couples make smarter decisions regarding contraceptive methods that suit their needs.
EXPERT SYSTEM TO DIAGNOSE STUNTING DISEASE IN TODDLERS USING CERTAINTY FACTOR METHOD Gea, Fide Evianti; Saragih, Rusmin; Ramadani, Suci
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 1 (2024): Journal MATECH (May 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i1.168

Abstract

Stunting is a condition of failure to grow in children under five (infants under 5 years) as a result of chronic malnutrition is so necessary monitoring and assessment of nutritional status and growth of children according to the standards. Malnutrition occurs from infancy or in the womb in the early days after the baby is born, however, the condition of stunting only appears after the baby is 2 years old. According to the decree of the Minister of Health No. 1995/MENKES/SK/XII / 2010 on anthropometric standards for assessing the nutritional Status of children needs to be adjusted to the development and needs of community nutrition improvement programs. To overcome the problem of stunting status in children, it is necessary a system that can diagnose stunting disease based on symptoms felt in toddlers from an early age and can be done prevention and handling of child growth and development and can provide information to many parents at the time of counseling and guidance from health workers in posyandu activities. Based on the calculation of CF, the highest value is in stunting disease in toddlers with a value of 0.9428 or 94.28%. From the results obtained, the system identifies that the toddler is suffering from the type of anemia.
Jaringan Syaraf Tiruan Memprediksi Kebutuhan Alat Suntik Medis di Rumah Sakit Menggunakan Metode Backpropagation: (Studi Kasus : RSU BATHESDA) ramli, Ramli; Nurhayati, Nurhayati; Saragih, Rusmin
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 3 No. 1 (2021): Edisi April
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v3i1.252

Abstract

The hospital is an integral part of a social and health organization with the function of providing services, disease healing and disease prevention to the community. Predicting the number of medical devices is essential for managing a hospital, managing human and financial resources, and for properly distributing material resources. If the number of medical devices can be predicted accurately, this will become the basis for planning and making decisions for hospital managers. Based on these reasons, an electronic tool is needed that can determine the number of medical device needs with a high degree of accuracy and the display of the results for easy reading and data collection. From system testing, the need for medical devices in the following month will decrease in providing some medical devices because they still have a lot of stock in the previous month. The Backpropagation Algorithm can carry out the prediction process, but whether or not the error value and the output is very much influenced by the determination of parameters such as the amount of learning rate and the number of neurons in the hidden layer.
Co-Authors , Eka Putra Abdul Azan Abdul Azan Abdullah Hamid, Abdullah Abdullah Husein Achmad Fauzi ACHMAD FAUZI Alfina Damayanti Ambarita, Indah Andini Andini Andre Adrian Andrean Samuel Siahaan Aprilianda, Dinda Arianta Bangun Arnes Sembiring Asih, Munjiat Setiani Barany Fachri Boyke Gunawan Manurung Br Sitepu, Dinda Isabella Buaton, Relita Chairul Rizal Charles Jhony Mantho Sianturi, Charles Jhony Mantho Cindy Primadona Siahaan Damayanti, Fera Dandi Satria R Deni Apriadi Dewantara, Nowell Dimas Prayogi Dinda Firdawati Simamora Divi Handoko Eka Pandu Cynthia Eka, Muhammad Fany Juliawati Fatimah Fatmaira, Zira Fauzi, Achmad frans ikorasaki Fuzy Yustika Manik Fuzy Yustika Manik, Fuzy Yustika Gea, Fide Evianti Ginting, Darmawan Gultom, Imeldawaty Handoko, Divi Herdiansyah Harahap Herdiansyah Harahap Hesty Vitara I Gusti Prahmana Ikhsan Arif Indra Prasetia, Indra Irfan Yusuf Ismi Asmita Jesayas Sembiring Khair, Husnul Khalidy, Furqan Lestari, Yuyun Dwi Lili Musarofah Lili Musarofah Loo, Petrus Magdalena Simanjuntak Magdalena Simanjuntak Magdalena Simanjuntak Mardiah Marto Sihombing Marto Sihombing Meisaroh Melda Pita Uli Sitompul Mhd Ferdiansyah Putra Mili Alfhi Syari Muhammad Danil Syahputra Muhammad Danil Syahputra Muhammad Eka Muhammad Eka Muhammad Noor Hasan Siregar Muhammad Reza Habibi Muhammad Zen, Muhammad Munadi Munadi Nadia Nurhafiza Nasril Hidayat Nico Kurniawan Purba Nikous Soter Sihombing Novriyenni Novriyenni Novriyenni Novriyenni, Novriyenni Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurhayati Nurlaila Nurlaila Nurlaila Nurlaila Nuryahati - Pakpahan, emma martina Pakpahan, Victor Maruli Pardede, Akim Manaor Hara Pasaribu, Tioria Rafli Fitriawan Rahayu Utami Rahmadani Rahmadani Rahmawati Rahmawati, Rahmawati Raihan, Muhammad Ramadani, Suci Ramli Ramli Ramos Parulian Ambarita Ratih Puspadini Rianty Zabitha Siregar Ricky Ramadhan Harahap Rizki Kurniawan Ryan Hidayat Sari Suwandi, Ema Saripurna, Darjat Satria R, Dandi SELVY ANGGRAINI, SELVY Sihombing, Anton Sihombing, Marto Simanjuntak, Magdalena Sinaga, Ayu Puspita Sari Sirait, Win Gomgom Parsaulian Siswan Syahputra Sitepu, Ruine Buana Br SITORUS, ERBIN Sonadi Perangin Angin Suci Pratiwi, Kiki Supiyandi Supiyandi Syahputra, Siswan Syari, Milli Alfhi Tantia Azzahra Tata Mustika Dewi tata, tatamustikadewi Theodora MV Nainggolan Ulandari, Seri Wati, Sri Kesuma Yani Maulita Yekolya Anatesya Yessi Fitri Annisah Lubis Yulia Ningsih Yusuf Afani Yuyun Dwi Lestari