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All Journal Jurnal Media Infotama JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) INCODING: Journal of Informatics and Computer Science Engineering Jurnal Komputer, Informasi dan Teknologi Jurnal Media Computer Science Jurnal Garuda Pengabdian Kepada Masyarakat
Alinse, Rizka Tri
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Sistem Pakar Diagnosa Penyakit Pada Kelinci Anggora Menggunakan Metode Certainty Factor Sari, Lidiya Okta; Elfianty, Lena; Alinse, Rizka Tri
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v7i2.2298

Abstract

Health is not only important for humans, but also for flora and fauna. Especially for animals that are often kept by humans either just for hobbies or for breeding. One of the animals that is often kept by humans is the Angora rabbit. Angora rabbits can be used as pets to be collected or farmed for resale. Angora rabbits are often attacked by diseases due to various factors, both because of the condition of the cage and the food. One that causes farmers to lose money is due to disease. The number of rabbit deaths caused by disease is quite high, ranging from 15% to 40%. Death occurs from birth to weaning. Some of the factors that cause disease are carelessness in maintaining cage sanitation, poor quality feed, insufficient feed volume, dirty or insufficient drinking water, lack of nutrients, contracting other sick rabbits, weather changes, and ignorance about Angora rabbit disease. Based on test data using the blackbox testing method, this expert system website is running well. Conclusion Expert System for Diagnosing Diseases in Angora Rabbits Using the Certainty Factor Method is a program that can diagnose disease in Angora rabbits and produce a percentage level of probability that Angora rabbits have the disease, based on the condition of the symptoms of the Angora rabbit that the user chooses.
Sistem Pakar Diagnosa Dampak Penggunaan Eyelash Extension Menggunakan Metode Naïve Bayes Syaputra, Sandy; Elfianty, Lena; Alinse, Rizka Tri
MEANS (Media Informasi Analisa dan Sistem) Volume 8 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v8i1.2657

Abstract

SS Beauty Bar is a beauty salon that offers many treatments, namely, nail art, eyebrow embroidery, lip embroidery, eyelash extension, facial, bb glow, lash lift, massage, SPA, menicure, pedicure, etc. One of the current treatments that are popular with women is to decorate the eyes by adding eyelashes or better known as eyelash extensions. Eyelash extension is the process of connecting artificial eyelashes with real eyelashes. An expert system for diagnosing the impact of using eyelash extensions at SS Beauty Bengkulu City was created to help diagnose the impact of using eyelash extensions based on the symptoms felt by the customer. The expert system for diagnosing the impact of using eyelash extensions at SS Beauty Bengkulu City has implemented the Naive Bayes method which is used to obtain a percentage level of the impact of using eyelash extensions and provide recommended solutions for customers. The expert system for diagnosing the impact of using eyelash extensions on SS Beauty in Bengkulu City was created using the Visual Basic.Net programming language. The expert system for diagnosing the impact of using eyelash extensions at SS Beauty Bengkulu City can provide information on the results of consultations in determining the impact of using eyelash extensions based on the symptoms that have been selected. Based on the results of the tests that have been carried out, the functionality of the expert system for diagnosing the impact of using eyelash extensions at SS Beauty Bengkulu City has gone well as expected.
Application Of Data Mining In Grouping Data On The Need For Social Welfare Services (Ppks) At The Dharma Guna Center In Bengkulu Wahyuni, Mera; Yulianti, Liza; Alinse, Rizka Tri
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8814

Abstract

Sentra Dharma Guna Bengkulu is an institution under the auspices of the Ministry of Social Affairs of the Republic of Indonesia that provides social rehabilitation services for people with disabilities, including therapy (physical therapy and occupational therapy) and training. At Sentra Dharma Guna Bengkulu, data collection is carried out on PPKS (Social Welfare Service Recipients) every month to determine the development of the PPKS based on 5 (five) assessment aspects, namely physical aspects, spiritual aspects, psychological aspects, social aspects, and vocational aspects. Every month the development of PPKS Mentally Disabled (PDM) is assessed against 5 assessment aspects to determine whether PPKS is in the severe, moderate or mild group. The application of data mining in grouping data on Social Welfare Service Recipients (PPKS) at the Dharma Guna Bengkulu Center can help collect data and assess the development of PPKS, especially People with Mental Disabilities (PDM), can help analyze and group PPKS data, especially People with Mental Disabilities (PDM), and can provide information on the results of grouping PPKS data, especially People with Mental Disabilities (PDM) every month. From the test data used, namely PPKS data for People with Mental Disabilities (PDM) in October 2024 as many as 49 PPKS, the results of data grouping were obtained using the K-Means Clustering Method which has been divided into 3 groups. The number of Cluster C1 data (Severe Group) consists of 9 PPKS data, Cluster C2 (Moderate Group) consists of 26 PPKS data, and Cluster C3 (Light Group) consists of 14 PPKS data.
Penerapan Metode K-Means Dalam Pengelompokan Data Siswa Berdasarkan Masalah Akademik Di SMA Negeri Selangit Asher, Chindy; Fredricka, Jhoanne; Alinse, Rizka Tri
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9370

Abstract

Selangit State High School does not yet have a system that can help identify students' academic problems. Until now, the school has only manually recorded each student's disciplinary violations as a point system by observing the violations committed by students, and at the end of the semester, all violation points are calculated. However, this process takes a considerable amount of time, as each student's violation points must be calculated individually, resulting in a lengthy process to determine the appropriate sanctions for each student. The application of the k-means method in grouping student data based on academic issues at Selangit State Senior High School can help the school obtain more specific information regarding students' academic issues and can be used as a benchmark in assisting with evaluations and counseling for students grouped based on academic issues. Based on the test data used in the odd semester of the 2024/2025 academic year, involving 30 students who committed violations, the results showed that cluster C1 had 12 students with sanctions in the form of reprimands, cluster C2 had 10 students with written warnings, cluster C3 had 0 students with suspension warnings, cluster C4 had 5 students with disciplinary action, and cluster C5 had 3 students.
Sistem Pendukung Keputusan Pemberian Kredit Mobil Bekas Menggunakan Metode AHP Pada PT. Batavia Prosperindo Finance Tbk Permana, Anggit; Siswanto, Siswanto; Alinse, Rizka Tri
INCODING: Journal of Informatics and Computer Science Engineering Vol 2, No 2 (2022): INCODING OKTOBER
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v2i2.300

Abstract

PT. Batavia Prosperindo Finance Tbk is one of the companies engaged in the financing of four-wheeled vehicles. The large number of requests for used car loans requires credit financing companies to make decisions quickly and accurately, previously the process of determining creditworthiness by the company was still using the manual method, so it did not rule out the possibility of miscalculations and errors in reading credit granting data. With these problems, a special application is needed that can assist companies in making decisions using the AHP method to determine creditworthiness quickly and accurately. The AHP (Analytical Hierarchy Process) method is one method to help develop a priority from various options using several criteria (multi criteria). Due to its multi-criteria nature, AHP is quite widely used in setting priorities. With this assessment pattern, the cases found at PT. BPF Bengkulu is very suitable when using this method in solving the problem of providing used car loans. From the results of research conducted by the AHP method, it is able to solve problems in the feasibility of giving used car loans using predetermined criteria and sub-criteria, resulting in a final score with the highest score of 0,458273 and the lowest score of 0,133065 and those eligible for used car loans. there are 3 people and 1 people don't deserve to be accepted..
Sistem Pendukung Keputusan Penentuan Pemberian Bantuan Pupuk Pertanian Kelompok Tani Desa Gunung Bantan Menggunakan Metode TOPSIS Widodo, Widodo; Wahyudi, Jusuf; Alinse, Rizka Tri
JUKI : Jurnal Komputer dan Informatika Vol. 5 No. 2 (2023): JUKI : Jurnal Komputer dan Informatika, Edisi Nopember 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/juki.v5i2.407

Abstract

Pupuk pertanian di Indonesia yang sangat dibutuhkan sebagai bahan pokok. Faktor terpenting dalam pembudidayaan tanaman adalah pupuk sebagai sumber keberhasilan dari penanaman tanaman yang ada. Pemupukan bertujuan untuk menjaga unsur hara pada tanaman agar berkembang dengan baik serta dapat terhindar dari hama dan penyakit. Di dalam pertanian memiliki jenis pupuk yang beragam. Menentukan pupuk yang cocok bagi petani tanaman yang ada dikabupaten kaur merupakan permasalahan yang terpenting karena hasil dari panen sangat dibutuhkan sebagai kebutuhan pokok. Permasalahan yang dialami adalah pemilihan pupuk di daerah masih kurang efektif. Karena dalam pemilihan pupuk para petani atau sektor usaha harus melakukan survei langsung ke Balai Pengkajian Teknologi Pangan untuk merekomendasikan jenis pupuk terbaik. Tetapi hal ini tidak efisien karena tidak menyesuaikan dengan tingkat keadaan dari kerusakan tanaman di daerah tersebut. Salah satu yang menjadi bahan penunjang dalam kesuksesan dari seorang petani adalah pupuk. Pupuk merupakan salah satu bahan yang mengandung unsur hara yang baik untuk kesuburan tanah baik berupa pupuk organik maupun pupuk anorganik. Metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) merupakan suatu metode untuk membantu pengambilan keputusan dimana alternatif yang dipilih berdasarkan beberapa kriteria tertentu. Dan beberapa kriteria untuk mengidentifikasi solusi dari satu set alternatif terbatas
Penentuan Penerima Bantuan dengan Program Miskin Berprestasi Menggunakan Metode Combined Compromise Solution (CoCoSo) Sallaby, Achmad Fikri; Kanedi, Indra; Sari, Venny Novita; Alinse, Rizka Tri; Supardi, Reno
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5192

Abstract

Educational assistance programmes from the government and other parties allow people to focus on education without being burdened by costs. In Indonesia, various aid programmes are available, including Bidik Misi for new students and special programmes for active students in need. These programmes aim to help poor, high-achieving students continue their education. However, there are problems in the determination of aid recipients. Aid funds are often misused by some students for hedonistic lifestyles. This is due to a selection system that is not objective and is still influenced by "insider power". Assessments based on students' economic conditions and achievements are often ignored, and priority is given to students who have connections in related institutions. This practice contradicts the purpose of the educational assistance programme, which is supposed to help students with economic limitations. Therefore, this research uses a Decision Support System (SDM). This study involved 15 students as data samples and used 5 assessment criteria. The selection of data samples was carried out by applying the Combined Compromise Solution method, one of the methods in decision making. From the selection process, 3 students were selected who were entitled to receive assistance. They are Siti Humairoh with a final score of 2.5395, Hafid Bangko in second place with a score of 2.2353, and Syfa Zahra in third place with a score of 2.1629. The three students have fulfilled all the requirements and they can proceed to the initial data validation process.
Co-Authors Anto, Gebi Andre Arliyan, Arliyan Asher, Chindy Fredricka, Jhoanne Herlina Latipa Sari Indra Kanedi Jusuf Wahyudi Lena Elfianty Liza Yulianti Masita, Yeti Nova, Tria Permana, Anggit Pratiwi, Annisa Putri Ramadani, Tri S Siswanto Sallaby, Achmad Fikri Sapri sapri sapri Sari, Dian Mardiati Sari, Lidiya Okta Sari, Venny Novita Sulastari, Ezy Supardi, Reno Syaputra, Sandy Toibah Umi Kalsum Wahyuni, Mera Widodo Widodo