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All Journal JURNAL SISTEM INFORMASI BISNIS Sinergi Jurnal Teknologi dan Sistem Komputer IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Informasi dan Teknologi Jurnal Teknik Industri Terintegrasi (JUTIN) JUSTER: Jurnal Sains dan Terapan SENTRI: Jurnal Riset Ilmiah Jurnal Pengabdian Masyarakat Bhinneka Journal of Artificial Intelligence and Digital Business Indonesian Journal of Multidisciplinary on Social and Technology Jurnal Pengabdian Masyarakat Charitas Journal of Engineering Science and Technology Management Journal of Digital Community Services Journal of Engineering and Science Application JES-TM Social and Community Service
Rusnedy, Hidayati
Universitas Pahlawan Tuanku Tambusai
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Identifikasi Tingkat Pemakaian Obat Menggunakan Metode Fuzzy C-Means Hidayati Rusnedy; Gunadi Widi Nurcahyo; S Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i4.152

Abstract

Medicine is one of the irreplaceable components in health services that can help in treating sick people. Planning for drug needs is one of the important aspects in drug management, because it affects the procurement, distribution and use of drugs in health care units. Planning the right drug needs will make procurement effective and efficient so that it is in accordance with the needs of health services with guaranteed quality and can be obtained when needed. Puskesmas is one of the health services that is managed under the District and City Health Offices. However, in reality there are still obstacles in the process of drug procurement at the Puskesmas so that it has not yet achieved excellent service related to the availability of drug services. Clustering in Data Mining can be used to analyze the use of drugs, planning and controlling drugs at the Puskesmas. The method that will be used in this research is the Fuzzy C-Means algorithm, which is the most widely used and relatively successful unsupervised machine learning method among many fuzzy clustering algorithms. The purpose of this study was to categorize drug data which can be used as a reference in making decisions in planning and controlling medical supplies at the puskesmas. Based on 501 Pharmacy Monthly LPLPO data records in October 2020-February 2021, the results obtained in cluster one are 179 types of drugs which are included in the low level of use, cluster 2 there are 18 types of drugs that are included in the moderate level of use and cluster 3 as many as 4 types. drugs that are included in the high level of use.
DECISION SUPPORT SYSTEM FOR SMARTPHONE RECOMMENDATION: THE COMPARISON OF FUZZY AHP AND FUZZY ANP IN MULTI-ATTRIBUTE DECISION MAKING Okfalisa Okfalisa; Hidayati Rusnedy; Dwi Utari Iswavigra; B. Pranggono; Elin Haerani Haerani; Saktioto Saktioto
SINERGI Vol 25, No 1 (2021)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2021.1.013

Abstract

Previous researches outlined the advantages of the Analytical Hierarchy Process (AHP) and Analytic Network Process (ANP) methods in solving Multi-Attribute Decision Making (MADM) problems. The advancement of the above methods was continually developed as an effort to cover up various weaknesses. Mainly related to the consistency and linguistic variables in translating the expert opinions. Thus, it initialized the emergence of Fuzzy AHP (F-AHP) and Fuzzy ANP (F-ANP). Due to the restricted operation of these algorithms in smartphone selection, this research attempted to investigate the effectiveness of both methods in providing the analysis of criteria weight, the final recommendation weight, the product recommendation weight, and the execution time in DSS-SmartPhoneRec application development. A survey of one hundred respondents of University students identified the dominant criteria in selecting the smartphone, namely price, Random Access Memory (RAM), processor, internal memory, and camera. Hence, five alternative products were then chosen as the appropriate smartphones’ recommendations based on the respondent’s preferences.  As an automatic tool, a DSS-SmartPhoneRec application was built to analyze and compare between F-AHP and F-ANP methods in resolving the smartphone selection cases. It revealed that the level of consistency of criteria weight, the final weight of recommendation, and the weight that the product-based F-ANP was 40% greater than F-AHP. In terms of execution time, F-AHP had a shorter time than F-ANP. Meanwhile, the comparison of products recommendation from DSS-SmartPhoneRec and a manual test showed that F-ANP was 16% more in line with the respondents’ predilection. In a nutshell, the DSS-SmartPhoneRec administered the devote smartphone recommendations based on the user’s expectation. The comparison analysis furnished a learning outcome for the users in determining the appropriate MADM method tailored to the type of cases.
Identification of the distribution village maturation: Village classification using Density-based spatial clustering of applications with noise Okfalisa Okfalisa; Angraini Angraini; Shella Novi; Hidayati Rusnedy; Lestari Handayani; Mustakim Mustakim
Jurnal Teknologi dan Sistem Komputer Volume 9, Issue 3, Year 2021 (July 2021)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.2021.13998

Abstract

The rural development measurement is undoubtedly not easy due to its particular needs and conditions. This study classifies village performance from social, economic, and ecological indices. One thousand five hundred ninety-one villages from the Community and Village Empowerment Office at Riau Province, Indonesia, are grouped into five village maturation classes: very under-developed village, under-developed village, developing village, developed village, and independent village. To date, Density-based spatial clustering of applications with noise (DBSCAN) is utilized in mining 13 of the villages’ attributes. Python programming is applied to analyze and evaluate the DBSCAN activities. The study reveals the grouping’s silhouette coefficient values at 0.8231, thus indicating the well-being clustering performance. The epsilon and minimum points values are considered in DBSCAN evaluation with percentage splits simulation. This grouping can be used as guidelines for governments in analyzing the distribution of rural development subsidies more optimal.
The Classification of Children Gadget Addiction: The Employment of Learning Vector Quantization 3 Okfalisa Okfalisa; Elvia Budianita; Musa Irfan; Hidayati Rusnedy; Saktioto Saktioto
IT Journal Research and Development Vol. 5 No. 2 (2021)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2021.vol5(2).5681

Abstract

The addiction of children to gadgets has a massive influence on their social growth. Thus, it is essential to note earlier on the addiction of children to such technologies. This study employed the learning vector quantization series 3 to classify the severity of gadget addiction due to the nature of this algorithm as one of the supervised artificial neural network methods. By analyzing the literature and interviewing child psychologists, this study highlighted 34 signs of schizophrenia with 2 level classifications. In order to obtain a sample of training and test data, 135 questionnaires were administered to parents as the target respondents. The learning rate parameter (α) used for classification is 0.1, 0.2, 0.3 with window (Ɛ) is 0.2, 0.3, 0.4, and the epsilon values (m) are 0.1, 0.2, 0.3. The confusion matrix revealed that the highest performance of this classification was found in the value of 0.2 learning rate, 0.01 learning rate reduction, window 0.3, and 80:20 of ratio data simulation. This outcome demonstrated the beneficial consequences of Learning Vector Quantization (LVQ) series 3 in the detection of children's gadget addiction.
Pemilihan Smartphone Berdasarkan Rekomendasi Profile User: Integrasi Fuzzy Analytical Hierarchy Process dan Rule Based Okfalisa Okfalisa; Dwi Utari Iswavigra; Hidayati Rusnedy; Toto Saktioto
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol10iss2pp211-219

Abstract

The usability and usefulness of smartphones have been found to lack optimality. Moreover, the action of the customer appears to behave as a consumptive user instead of buying following the basic needs. In selecting the right smartphone, this study provides an alternative option for buyers. The Fuzzy Analytical Hierarchy Process (F-AHP) approach is applied by distinguishing between two distinct decision-making namely, Profile User as a user recommendation-based, and Smartphone-based selection. The suggested requirements are hobbies, areas of jobs, and the use of social network applications in determining the user profile. The weights of the criteria and alternatives for profile users are acquired through the dissemination of questionnaires to 117 respondents. In the meantime, parameters such as Random-Access Memory (RAM), Read-Only Memory (ROM), camera, processor, screen, and battery are added to the smartphone list of criteria upon on the interviews of 15 experts and practices in smartphone and Information Technology (IT). F-AHP rates each of the Smartphone and User Profiles as a first-round output. A rule-based expert system is employed to intertwine Smartphone and User Profiles decision-making viewpoints. The relationship between the Smartphone and the User Profile is therefore circumscribed as the final decision to applaud the acceptable Smartphone for those users of the profile. A prototype of the MatchSmartPhone application has been developed to computerize the F-AHP calculation. This application can be used to assist users according to the user's profile in delivering the best Smartphone device recommendations. Users would be wiser and smarter when shopping in advance.
Penyuluhan Tentang Dampak Positif Penggunaan Gadget Bagi Anak Usia Dini Rusnedy, Hidayati; Tanjung, Lailatul Syifa; Hidayat, Hidayat; Priyatno, Arif Mudi
Journal of Digital Community Services Vol. 1 No. 2 (2024): July
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/dcs.v1i2.7

Abstract

The Golden Age period is for children aged 0-6 years, where during this period children's development develops rapidly and must develop well, this is because during this period children have potential in something and have a very great curiosity. It is seen that children often wonder about what they see. The use of gadgets, especially smartphones and tablets in early childhood, has now become a public concern. The reason is, gadgets have become a necessity for society and even children. Gadgets are technology that have very interesting applications and features, such as games and videos that children really like. Most parents do not pay attention to and regulate their children's use of gadgets and sometimes parents do not realize that their children are addicted to gadgets. This outreach aims to provide knowledge to parents and teachers that if the use of gadgets is carried out with supervision and used properly it will have a positive impact which is very useful for children's development, be it physical, emotional and intelligence development
Pelatihan Design Produk di PT Mond Nature Lestari Priyatno, Arif Mudi; Sudirman, Wahyu Febri Ramadhan; Lasepa, Wanda; Afrinis, Nur; Rizqi, Eka Roshifita; Tanjung, Lailatul Syifa; Rusnedy, Hidayati; Hidayat, Hidayat
Journal of Digital Community Services Vol. 1 No. 2 (2024): July
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/dcs.v1i2.17

Abstract

Pelatihan desain produk di PT Mond Nature Lestari bertujuan untuk meningkatkan keterampilan tim desain dalam penggunaan perangkat lunak modern seperti Canva dan Figma. Pelatihan ini mendukung visi perusahaan untuk menyediakan produk organik berkualitas tinggi dengan desain yang menarik, fungsional, dan berkelanjutan. Pendekatan yang sistematis mencakup analisis kebutuhan, penyusunan kurikulum, dan pelatihan tatap muka serta daring. Hasil pelatihan menunjukkan peningkatan signifikan dalam keterampilan tim desain, terutama dalam penggunaan perangkat lunak desain. Tim mampu menghasilkan desain yang lebih estetis dan profesional, meningkatkan daya tarik visual produk serta materi pemasaran perusahaan. Pelatihan Figma meningkatkan efisiensi dan koordinasi dalam membuat prototipe desain UI/UX secara real-time, mengurangi kesalahan dan mempercepat waktu pengerjaan. Pelatihan ini terbukti efektif dalam mendukung inovasi dan keberlanjutan bisnis PT Mond Nature Lestari di pasar produk organik yang kompetitif. Dengan hasil-hasil yang telah dicapai, dapat disimpulkan bahwa pelatihan desain produk ini sangat efektif dalam mencapai tujuan yang telah ditetapkan. Keberhasilan ini tidak hanya memperkuat posisi PT Mond Nature Lestari di pasar, tetapi juga mendukung visi dan misi perusahaan untuk terus berinovasi dan berkontribusi positif bagi masyarakat dan lingkungan.
Penerapan Algoritma K-Means untuk Pengelompokan Data Mahasiswa Baru Program Studi Teknik Informatika di Universitas Pahlawan Tuanku Tambusai Kasini, Kasini; Rusnedy, Hidayati; Tanjung, Lailatul Syifa; Munti, Novi Yona Sidratul
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 1 (2025): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i1.41449

Abstract

Pahlawan Tuanku Tambusai University (UP) in Riau Province has an Informatics Engineering Study Program that accepts new students every year from various regions around Bangkinang. Incoming student data is processed to assist decision making, especially in the field of promotion. This study aims to apply the K-Means algorithm to Informatics Engineering Study Program student data, with attributes of student name and district of origin, to group regions based on promotion potential. The K-Means method is used to group data into three clusters: High Priority, Medium Priority, and Low Priority. The results of the analysis show that there are 22 regions included in the High Priority Cluster, 23 regions in the Medium Priority Cluster, and 43 regions in the Low Priority Cluster. Regions in the High Priority Cluster are the main priority for promotion strategies, while regions in the Medium Priority and Low Priority Clusters require a more focused promotion approach. This study provides an important contribution to the promotion strategy of the Informatics Engineering Study Program at UP by using a data mining approach to increase the visibility of the study program in the community
Sosialisasi Penggunaan Website Sebagai Media Promosi UMKM di Kecamatan Kuok Kabupaten Kampar Kasini, Kasini; Rusnedy, Hidayati; Marwa, Safni; Adeswastoto, Hanantatur; Musridho, Raja Joko; Yusmita, Yesi; Librianty, Nany
Jurnal Pengabdian Masyarakat Bhinneka Vol. 3 No. 4 (2025): Bulan Juli
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v3i4.342

Abstract

Kegiatan pengabdian masyarakat ini memiliki tujuan untuk meningkatkan pemahaman pelaku usaha Mikri, Kecil dan Menengah (UMKM) mengenai pemanfaatan teknologi berbasis digital yaitu website sebagai media promosi. Metode dalam pelaksanaan pengabdian dengan observasi, ceramah dan diskusi interaktif dengan pelaku usaha dan diberikan sedikit praktik sederhana. Pretest dan post test menunjukkan adanya peningkatan pemahaman terhadap fungsi dan manfaat website bagi bisnis UMKM. Kegiatan ini diharapkan dapat mendorong pelaku usaha dalam pemanfaatan teknologi terutama website dalam peningkatan pemasaran.
Analisis Komparatif Algoritma Dijkstra dan Google Maps API dalam Penentuan Rute Tercepat Musridho, Raja Joko; Rusnedy, Hidayati; Sudirman, Wahyu Febri Ramadhan
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2264

Abstract

Penelitian ini membandingkan algoritma shortest path klasik, khususnya Dijkstra, dengan sistem penentuan rute berbasis waktu nyata seperti Google Maps dalam konteks efisiensi perjalanan. Simulasi manual dilakukan menggunakan graf berbobot statis, sementara studi kasus di Kota Pekanbaru digunakan untuk mengamati rekomendasi rute Google Maps pada dua waktu berbeda. Hasil simulasi menunjukkan bahwa algoritma Dijkstra menghasilkan rute optimal tetap (contoh: A → C → D → E dengan total waktu 5 menit pada kondisi normal), namun tidak dapat beradaptasi ketika terjadi perubahan kondisi lalu lintas. Sebaliknya, hasil observasi Google Maps menunjukkan adanya variasi rute: pada malam hari rute tercepat ditempuh dalam ±19 menit dengan jarak ±11,2 km, sementara pada siang hari rute berbeda dipilih dengan waktu tempuh lebih lama ±26 menit meskipun jaraknya hampir sama (±10,9 km). Perbedaan ini menegaskan bahwa Google Maps memperbarui bobot graf internalnya secara dinamis untuk menyesuaikan dengan kondisi lalu lintas. Temuan ini menyoroti keterbatasan algoritma konvensional di lingkungan perkotaan dinamis, sekaligus memperkuat keunggulan sistem navigasi berbasis data. Dengan demikian, penelitian ini menyimpulkan bahwa algoritma shortest path klasik relevan untuk tujuan edukatif dan simulatif, tetapi sistem navigasi berbasis data waktu nyata lebih efektif diterapkan dalam transportasi perkotaan yang kompleks.
Co-Authors Adeswastoto, Hanantatur Afrinis, Nur Angraini Angraini Annisa Yulia Zarti Arif Mudi Priyatno Aris Fiatno B. Pranggono Dwi Utari Iswavigra Dwi Utari Iswavigra Elin Haerani Haerani Elvia Budianita Emon Azriadi Febryanto Febryanto Gunadi Widi Nurcahyo Haerani, Elin Haerani Hidayat Hidayat Hidayat Indra Irawan Iswavigra, Dwi Utari Kasini, Kasini Kumala Sari, Resy Laila Syifa Tanjung Lailatul Syifa Tanjung Lailatul Syifa Tanjung Lasepa, Wanda Lestari Handayani Marwa, Safni Musa Irfan Mustakim Mustakim Nany Librianty novi yona sidratul munti Nur Afrinis Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Pranggono, B. R. Joko Musrodho Raja Joko Musridho Rendi Rapitra Resy Kumala Sari Resy Kumala Sari Rian Eka Putra Rizqi, Eka Roshifita Safni Marwa Saktioto Saktioto Sari, Resy Kumala Shella Novi Sumijan Syifa Tanjung, Lailatul Tanjung, Lailatul Syifa Wahyu Febri Ramadhan Sudirman Yesi Yusmita Yusmita, Yesi Zikri Alhadi Adha