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All Journal Sistemasi: Jurnal Sistem Informasi Jurnal Pengabdian UntukMu NegeRI Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal Penelitian Pendidikan IPA (JPPIPA) Dinamisia: Jurnal Pengabdian Kepada Masyarakat JURNAL PENDIDIKAN TAMBUSAI Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Archive: Jurnal Pengabdian Kepada Masyarakat J-COSCIS : Journal of Computer Science Community Service CONSEN: Indonesian Journal of Community Services and Engagement JURNAL KARYA ILMIAH MULTIDISIPLIN INOVTEK Polbeng - Seri Informatika

Loneli Costaner

Fakultas Ilmu Komputer, Universitas Lancang Kuning

Author-ID : 615120

Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Physics Public Health Social Sciences Other

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Title

SISTEM PENGAMBILAN KEPUTUSAN MATA KULIAH YANG DIMINATI MAHASISWA (STUDI KASUS: PRODI SISTEM INFORMASI FAKULTAS TEKNIK DAN ILMU KOMPUTER Loneli Costaner
Sistemasi: Jurnal Sistem Informasi Vol 4, No 3 (2015): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Dunia pendidikan merupakan pendukung dari perkembangan jaman saat ini, dimana dengan adanya lembaga pendidikan, semua bidang dapat dipelajari. Ada dua jenis pendidikan yaitu formal dan non formal, yang antara keduanya memiliki tujuan yang sama yaitu memberikan atau menyampaikan ilmu pengetahuan untuk bekal anak-anak bangsa. Proses pendidikan diperguruan tinggi akan terjadi jika terdapat interaksi dari 2 komponen utamanya yaitu dosen dan mahasiswa. Antara dosen dan mahasiswa akan terjadi korelasi dan kolaborasi dalam mencapai visi dan misi perguruan tinggi tersebut. Dari sekian banyak mahasiswa yang sedang menjalani perkuliahaan di Prodi Sistem Informasi, pasti memiliki minat belajar yang berbeda terhadap mata kuliahnya, karena setiap dari mata kuliah memiliki kriteria tersendiri dari mata kuliah yang lainnya, dan merupakan salah satu bahan pertimbangan bagi mahasiswa saat akan mengambil mata kuliah yang bersangkutan.. Maka dari itu penulis sangat mengambil perhatian untuk menyelesaikan kasus ini dengan mengimplementasikan sistem pengambilan keputusan dengan metode Analitical Hierarcy Proses (AHP) untuk mengetahui minat matakuliah yang di senangi oleh mahasiswa angkatan 2012. Hal ini dilakukan untuk membantu Prodi Sistem Informasi UNISI dalam mengevaluasi mahasiswa maupun Dosen pengampu. Kata Kunci; Minat, Matakuliah, SPK, AHP, Sistem Informasi

SISTEM PAKAR DIAGNOSA DINI KANKER SERVIKS BERDASARKAN GEJALA PASIEN (STUDI KASUS : RUMAH SAKIT PURI HUSADA TEMBILAHAN) Loneli Costaner; Samsudin Samsudin
Sistemasi: Jurnal Sistem Informasi Vol 3, No 3 (2014): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Expert system is a system that is trying to adopt human knowledge into a computer, so that the computer can resolve the issue as it is commonly done by experts. Expert systems are typically used for consultation, analysis and diagnosis, assist decision-making, and others. One expert system implementation in the health sector is to perform early diagnosis of the cancer. Cancer is a disease caused by abnormal growth of body tissue cells are transformed into cancer cells. Cancer can affect all levels of society without exception. Many types of cancer that can affect women and is the most deadly cervical cancer. Nearly all the world there are women affected by cervical cancer. This research aims to devise an expert system application for the early detection of cervical cancer which can be used to help the physician or physician's assistant providing information to the public about the dangers posed by cervical cancer as well as forward chaining method with Visual Basic 6.0 programming language and MySQL database. Through this application, users can conduct consultations with the system like a consultation with an expert to detect symptoms that occur on the user as well as finding solutions to the problems faced. Base on the results, 60% of respondents strongly agreed and 47% of respondents agree to the system has been developed. Keyword : Expert System, Cancer Cervix, Forward Chaining

OPTIMASI JUMLAH PRODUKSI ROTI UD PRIMA SARI MENGGUNAKAN METODE LOGIKA FUZZY Loneli Costaner; Wenny Syafitri; Guntoro Guntoro
Sistemasi: Jurnal Sistem Informasi Vol 8, No 3 (2019): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Logika fuzzy merupakan salah satu metode yang dapat memebantu permasalah manusia, baik sekala kecil menengah maupun tingkat tinggi. Logika fuzzy termasuk bagian dari keilmuan kecerdasan buatan yang dapat mengolah data dengan mempresentasikan seperti otak manusia. Metode logika fuzzy sering digunakan dalam menyelesaikan berbagai permasalahan optimasi maupun prediksi. Dalam pengolahan data dalam inferensi fuzzy dapat mengenali data data kegiatan yang sudah lama seabagai standar pengambilan keputusan yang akan datang, salah satunya untuk mengoptimasi jumlah produksi dari permintaan permintaan sebelumnya. Mengoptimasi jumlah produksi roti dapat memberikan perkiraan berapa jumlah produksi yang akan dihasilkan guna memenuhi permintaan. UD Prima Rasa salah satu Usaha Dadang perorangan dipekanbaru yang memproduksi roti setiap harinya guna memenuhi permintaan pelanggan, hal ini membuat produksi harus dikelola dengan baik agar tidak salah perkiraan dalam menghasilkan roti. Permintaan yang bisa naik dan juga bisa turun terkadang membuat UD Prima Rasa kewalahan dalam memenuhi proses produksi karena tidak mengetahui dengan pasti berapa yang seharusnya maksimal roti yang harus diproduksi agar tidak terjadi kekurangan yang mengakibatkan lambatnya pendistribusian terlambat dan kue tidak lama tersimpan digudang tempat penyimpanan. Metode penelitian ini terdiri dari beberapa tahapan diantaranya identifikasi masalah, menganalisa masalah, mengumpulkan data, memberikan inferensi sistem fuzzy, menguji dan mengevaluasi

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN WISMA DENGAN MENGGUNAKAN METODE FUZZY TSUKAMOTO (STUDI KASUS: WISMA WILAYAH TEMBILAHAN-INDRAGIRI HILIR) Loneli Costaner
SISTEMASI Vol 4, No 1 (2015): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Kualitas Wisma pada setiap daerah merupakan suatu permasalahan yang sangat penting. Dengan adanya wisma-wisma yang berkualitas daerah inhil akan menunjukan kualitas daerahnya melalui penginapan khususnya wisma. Proses pemilihan wisma terbaik tersebut bukan merupakan hal yang mudah, selama ini di daerah Inhil, pemilihannya dilakukan dengan cara memilih salah satu wisma yang di rekomendasikan oleh wisma itu sendiri, cara pemilihan tersebut tentu memiliki banyak kekurangan terutama dari segi objektifitas serta belum adanya kriteria yang terukur yang digunakan untuk menentukan wisma mana yang akan menjadi wisma terbaik. Berdasarkan hal tersebut diatas Logika fuzzy dapat digunakan untuk memodelkan suatu permasalahan yang matematis, dimana konsep matematis yang mendasari penalaran fuzzy sangat sederhana dan mudah dimengerti. Logika fuzzy merupakan generalisasi dari logika klasik (Crisp Set) yang hanya memiliki dua nilai keanggotaan yaitu 0 dan 1. Kata kunci: Wisma, Logika, Fuzzy

Analysis of Students to Follow Computer Extracurricular Activities using Fuzzy Logic Method Loneli Costaner; Guntoro Guntoro; Lisnawita Lisnawita
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i1.2211

An educational institution will carry out activities for the development of human resources. In improving good human resources, additional lessons are needed to increase students' skills, especially in the computer field. The current obstacle is that schools have difficulty measuring students' interest in participating in computer extracurricular, as a result the development of computer hardware needs is hampered. This study aims to provide knowledge to schools to find out what percentage of students are interested in learning computers. The method used is a Likert scale and fuzzy logic by measuring four variables of student feelings, student attention, student interest and student involvement. Measurement of student interest by compiling a questionnaire filled in by students and students there are 14 questions with a choice of each question 5 answer choices, obtained an average weight on the Likert scale variable feeling 74.0%, attention 76.5%, interest 75.7% and the involvement of 78.0% of the weight was tested with fuzzy inference with a firmness value of 38, where the value is included in the output domain not interested. By measuring student interest, it is hoped that it will be useful for institutions to consider implementing computer extracurricular.

Importance Performance Analysis (IPA) of Patient Satisfaction with Fuzzy Logic at the Rumbai Maternity Clinic Costaner, Loneli; Lisnawita, Lisnawita; Guntoro, Guntoro
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.3527

This study focuses on the level of patient satisfaction at the Rumbai Maternity Clinic. Quality of service is the main key that influences patient trust and satisfaction with this health facility. Therefore, the purpose of this study was to analyze patient satisfaction with the Importance Performance Analysis (IPA) method using fuzzy logic. This study will identify service attributes that are considered important by patients and evaluate the extent to which patient expectations have been met at the clinic. Attributes studied include cleanliness of facilities, courtesy of medical staff, availability of medicines, quality of medical services, information conveyed to patients, and others. The (IPA) method will help measure the level of importance and performance of each service attribute based on patient perceptions. Fuzzy logic is used to overcome the complexity and subjectivity of assessing patient satisfaction. The results of this study are expected to provide a comprehensive picture of patient perceptions and satisfaction at the Rumbai Maternity Clinic. Clinical management can use the results of this study to identify service improvement priorities and increase patient satisfaction. The scientific contribution of this research lies in combining the IPA method and fuzzy logic in the analysis of patient satisfaction. Thus, this research has the potential to help improve the quality of health services at the Rumbai Maternity Clinic and can be applied as a guide for developing similar methods in other health facilities.

Feature Extraction Analysis for Diabetic Retinopathy Detection Using Machine Learning Techniques Costaner, Loneli; Lisnawita, Lisnawita; Guntoro, Guntoro; Abdullah, Abdullah
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4600

Diabetic retinopathy is a serious complication of diabetes that can lead to blindness if not detected and treated early. Automated detection of diabetic retinopathy requires effective feature extraction techniques to enhance diagnostic accuracy. This study aims to develop a method for detecting diabetic retinopathy by utilizing Local Binary Pattern (LBP) combined with wavelet transform, and then classifying the extracted features using Support Vector Machine (SVM). The approach includes feature extraction from retinal images using LBP and wavelet transform. The extracted features are subsequently classified with SVM to evaluate performance in detecting diabetic retinopathy. Analysis results show that the dominant feature is found in the fifth row with a value of 0.57006, indicating the effectiveness of the LBP method in feature extraction. The developed model demonstrates high performance with an accuracy of 95.59%, precision of 96%, recall of 97.96%, and F1-score of 96.97%. The combination of feature extraction methods with SVM proves to be effective and reliable in detecting diabetic retinopathy, offering low error rates and high accuracy, thus potentially serving as a valuable tool in clinical diagnosis

Co-Authors Abdullah Abdullah Ahmad Zamsuri, Ahmad Alfarasy, Febrizal Alyauma Hajjah Antonius Fernando Bayu Febriadi, Bayu Chan, Andhi Darmanta Sukrianto Deny Jollyta Dwi Oktarina Guntoro Guntoro Guntoro Guntoro Guntoro Guntoro, Guntoro Gusrianty Gusrianty Gustientiedina Hadi Dwi Putra Hutri Rizkiyah Alda Johan Johan Johar, Olivia Anggie Lisnawita Lisnawita Lisnawita Lisnawita Lisnawita Lucky Lhaura Van FC, Lucky Lhaura Mariza Devega Mhd. Arief Hasan, Mhd. Arief Musfawati Mustika Mustika Pandu Pratama Putra, Pandu Pratama Samsudin, Samsudin Sutejo Sutejo Wahyu Joni Kurniawan Wenni Syafitri, Wenni Wenny Syafitri Yitro Amazihono Yogi Yunefri, Yogi Yuhelmi Yuhelmi

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