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All Journal JURNAL SAINS PERTANIAN EQUATOR Jurnal Indo-Islamika Madrasah: Jurnal Pendidikan dan Pembelajaran Dasar Jurnal Informatika Upgris Jurnal Pilar Nusa Mandiri JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL SYARIKAH : JURNAL EKONOMI ISLAM Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Jurnal Tabarru': Islamic Banking and Finance GERVASI: Jurnal Pengabdian kepada Masyarakat DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Respirasi (JR) World Nutrition Journal Jurnal Abdi Insani Indonesian Journal of Electrical Engineering and Computer Science Infotek : Jurnal Informatika dan Teknologi Infotech: Journal of Technology Information SEMAR Indonesian Journal of Sociology, Education and Development (IJSED) Journal of Environmental Science Sustainable Kosala : Jurnal Ilmu Kesehatan Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Jurnal Ilmu Kesehatan Indonesia (JIKSI) The Indonesian Journal of Gastroenterology, Hepatology and Digestive Endoscopy Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Innovative: Journal Of Social Science Research Bengawan :Jurnal Pengabdian Masyarakat SmartComp Neurona Proceeding of International Conference on Humanity Education and Society Preventif : Jurnal Kesehatan Masyarakat
Wiji Lestari
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Penerapan Sistem Informasi Pelayanan Konsumen Produk Kecantikan Berbasis Android Pada PT Jaya Fajar Widyastuti, reni; Dhiana, Azis Sukma; Lestari, Wiji
Jurnal Informatika UPGRIS Vol 8, No 2: Desember 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i2.13519

Abstract

PT. Jaya Fajar Lestari has been a pioneer in beauty products since 1984. Since then the company has earned the trust, the loyalty of the public, and a reputation as an excellent provider of beauty products and services in the beauty business. One of the beauty services is beauty care and consultation, this service is in great demand and already has more than 100 consumers who are still handled manually so there are customer complaints about customer service such as being slow to inform the schedule of beauty treatments, the latest products, as well as answering customer complaints about the products that are available. used so that it requires an information system that can overcome these problems, namely an android-based system. The author proposes the application of this system with a waterfall system development model by describing the system with UML and java and android bases. This system is a solution to the problems of customer service PT. Jaya Fajar Lestari so that consumers can be served more intensively and comfortably in the use of this system and make it easier for the management of PT. Jaya Fajar Lestari in supervising the implementation of the company's business processes with the latest and most reliable reports
Sistem Peminjaman Alat Laboratorium Berbasis RFID dan IoT di Fakultas Kedokteran Gigi UMS Mulyanto, Hari; Maulindar, Joni; Lestari, Wiji
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i2.30631

Abstract

Laboratories play a crucial role in supporting academic activities at health education institutions. However, inventory management at the Laboratory of the Faculty of Dentistry, Universitas Muhammadiyah Surakarta (UMS), is still conducted manually, leading to recording errors, service delays, and difficulties in real-time equipment monitoring. These issues hinder students from accessing information about the availability and location of equipment needed during practical sessions. This study aims to develop a laboratory equipment loan administration system using Radio Frequency Identification (RFID) technology integrated with the Internet of Things (IoT). The system was developed using the prototyping method, utilizing the ESP8266 and RFID RC522 sensor as the main components to support automated, contactless identification of equipment. The developed system is capable of digitally recording and monitoring the borrowing and returning of equipment in a structured and real-time manner. Testing results show that the system functions properly and meets user needs, although it has a limitation in RFID reading distance, with a maximum range of only 3 cm. This constraint presents a challenge for field implementation. Overall, the system has proven to improve efficiency, accuracy, and transparency in laboratory inventory management and supports the digitalization of technology-based equipment loan processes.
Nutritional Status and Lung Cavity in Pulmonary Tuberculosis Patient Hanafi, Christi Giovani Anggasta; Nurwidya, Fariz; Lestari, Wiji; Agustin, Heidy; Syam, Shaogi
Jurnal Respirasi Vol. 11 No. 1 (2025): January 2025
Publisher : Faculty of Medicine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jr.v11-I.1.2025.6-14

Abstract

Introduction: As one of the leading causes of death worldwide, pulmonary tuberculosis (PTB) is an infectious disease that continues to pose a serious threat to public health. The presence of cavities in radiological imaging of patients with PTB is associated with malnutrition, age, gender, and other comorbidities, including diabetes mellitus. This study aimed to find the association between nutritional status and lung cavity in PTB patients. Methods: This was an analytical observational study with a cross-sectional design that involved 134 adult patients who were diagnosed with PTB at Persahabatan National Respiratory Referral Hospital, Jakarta. All patients were interviewed using a questionnaire for sociodemographic and anthropometric data, the nutritional status was assessed using the subjective global assessment (SGA), and the lung cavity was determined using a chest X-ray interpreted by radiologists. The Chi-square test was performed using the Statistical Package for the Social Sciences (SPSS) version 25 for Windows. Results: Of 134 PTB patients, 61.9% were males, and 92.5% were from the 18-59 years old age group. Based on the SGA score, 77 (57.5%) were grouped as mild-moderate malnutrition/SGA B and 22 (16.4%) as severe malnutrition/SGA C. Lung cavity was found in 42 (31.3%) patients. The analysis showed that malnutrition was statistically significantly associated with lung cavity with OR=6.933 (95%CI 1.986-24.205; p=0.002) and the adjusted OR were 7.303 (95%CI 2.060-25.890; p=0.002) after controlling for age, sex, smoking, education, and comorbidities. Conclusion: This study found that malnutrition was associated with lung cavities in PTB patients. These findings might indicate how malnutrition impaired the immune function in PTB patients.
ANGKRINGAN 5.0: IMPLEMENTASI GREEN ENERGY DAN KOMPUTASI CERDAS Hasanah, Herliyani; Lestari, Wiji; Nugroho, Novemy Triyandari; Susanto, Rudi
Jurnal Abdi Insani Vol 11 No 3 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i3.1894

Abstract

Society 5.0 is a concept of convenience for humans controlled by technology in fulfilling social and economic behavior. The use of technology in the form of hardware and software requires high energy. The need for energy will add to problems in energy supply. To anticipate this, the equipment and facilities used by small and medium enterprises (SMES) must be designed to use sustainable energy and resources or green energy. The angkringan business is one of the typical SMES in Indonesia. The angkringan business also faces tough competition to survive in the culinary business. For this reason, innovation and development are needed, including strategies that carry traditional nuances combined with modern technological information. Green energy is developed using solar cells which will be implemented in Gerobak Angkringan. Intelligent computing will be implemented in applications to manage solar cell energy distribution and prediction. Furthermore, intelligent computing will be implemented in the Angkringan 5.0 application. The stages of implementing devotion activities include preparation, implementation and evaluation. The off-grid PLTS unit implemented for the Angkringan Suhe Railway Museum uses 200 Wp solar panels. An intelligent computing system has been implemented in the application to manage the distribution and prediction of solar cell energy. Furthermore, intelligent computing will be implemented in the Angkringan 5.0 application. This application is useful for helping small and medium enterprises (SMES), especially Angkringan traders. This application is useful for monitoring the weather when selling angkringan, so that angkringan traders anticipate these conditions. The System Usability Scale (SUS) Testing Instrument with 10 questions obtained a SUS test calculation result of 82.5, so it can be said that the system built meets the SUS.
IMPLEMENTATION OF FUZZY INFERENCE SYSTEM (FIS) FOR CARDIOVASCULAR DISEASES PREDICTION Sumarlinda, Sri; binti Rahmat, Azizah; Awang Long, Zalizah binti; Lestari, Wiji
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3418

Abstract

Abstract- Cardiovascular diseases (CVDs) continue to be a leading cause of mortality worldwide. Early and accurate prediction of CVDs risk is crucial for effective prevention and management. This study presents the implementation of a Fuzzy Inference System (FIS) for predicting suseptibility cardiovascular diseases. The implementation of FIS for the prediction of cardiovascular disease is by determining the membership function for risk factors that influence the susceptibility of the disease. The FIS developed in this study integrates five risk factors, including age, systolic blood pressure, diastolic blood pressure, blood sugar and cholesterol and one output parameter CVDs prediction. The FIS method used Mamdani with 162 rules. Real-world patient data diagnosed with cardiovascular disease is used to train and validate the FIS. Validity testing produces 100% valid data. Testing is carried out using patient data. The method used to validate the results of the FIS implementation is by distributing questionnaires to several paramedics.. These findings provide insights into further refinements of CVD risk modeling and potential applications in clinical practice.
IMPLEMENTATION OF ASSOCIATION RULES USING APRIPORI ALGORITHM FOR ANGKRINGAN Lestari, Wiji; Hasanah, Herliyani; Susanto, Rudi
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3425

Abstract

Angkringan is a culinary business that is often found, especially in Surakarta and Yogyakarta in particular and Central Java in general. Most angkringan include small and medium enterprises (SMES). Food and drink merchandise mapping is an important thing in angkringan. In this research, food and drink mapping was carried out at several snack bars in Jebres sub-district, Surakarta city using word clouds and the Apriori algorithm. The word cloud will produce the dominant food and beverage itemsets which will then be processed using the Apriori algorithm. The results of mapping with the Apriori algorithm for food yield support(tempeh) = support (tofu) = 95 which is the highest. Relationship value between dominant itemsets: Confidence(tempeh, tofu→satay, milkfish rice, quail egg, bakwan) = 21. Results for drinks have the highest support value for tea, support(tea) = 100. Relationship value between dominant itemsets: Confidence(tea → coffee, milk, ginger) = 15.
Improvement Of Prediction Model Using K-Nearest Neighbors (Knn) And K-Means In Medical Data Lestari, Wiji; Sumarlinda, Sri; Binti Rahmat, Azizah
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4175

Abstract

Improving the performance of a prediction model is very important in its implementation. This study aims to improve the performance of the K-Nearest Neighbors (KNN) classification model with the K-Means clustering algorithm. The dataset used is UCI global data with 300 data and 12 features. The dataset is divided into 200 training data and 100 testing data. The training data is then processed by clustering with K-Means. The cluster centroid from the clustering results will be calculated for its distance from the testing data and produce data classification. The results of the classification process show that the accuracy of the proposed model is 76.45% better when compared to the results of the KNN classification process, for k = 5 the accuracy is 63.37%, k = 10 the accuracy is 64.36% and k = 15 the accuracy is also 64.36%.
Hubungan Sanitasi Dasar Dengan Kejadian Stunting di Wilayah Kerja Puskesmas Lipulalongo Kabupaten Banggai Laut Kanan, Maria; Cahya, Bambang Dwi; Lestari, Wiji; Herawati, Herawati; Sudarsa, Caca
Preventif : Jurnal Kesehatan Masyarakat Vol. 15 No. 2 (2024): Volume 15 No. 2 (2024)
Publisher : Tadulako University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/preventif.v15i2.1346

Abstract

Stunting merupakan gangguan pertumbuhan pada anak, dimana panjang atau tinggi badannya pendek atau sangat pendek yang didasarkan pada tinggi menurut umur dengan parameter Z-score < -2 SD. Sanitasi lingkungan berperan penting dalam mencegah penyakit infeksi berbasis lingkungan seperti diare dan cacingan yang dapat memengaruhi pertumbuhan linier dan jika terjadi secara berulang akan mengurangi asupan zat gizi sehingga dapat menyebabkan stunting. Tujuan dari penelitian ini adalah untuk menganalisis hubungan ketersediaan air bersih, jamban, Saluran Pembuangan Air Limbah (SPAL) dan tempat sampah dengan kejadian stunting di wilayah kerja Puskesmas Lipulalongo. Jenis penelitian ini adalah analitik observasional dengan pendekatan cross sectional. Jumlah Populasi dalam penelitian ini yaitu 480 rumah keluarga balita, terdiri atas 365 balita tidak stunting dan 115 balita stunting. Sampel pada penelitian ini menggunakan Teknik total sampling. Hasil penelitian menunjukan bahwa ada hubungan antara ketersediaan SPAL dengan kejadian stunting di wilayah kerja Puskesmas Lipulalongo dengan nilai signifikan chi square p = 0,038 yang mana p < 0,05 namun tidak ada hubungan antara ketersediaan air bersih (p=0,1), ketersediaan jamban (p=0,18), ketersediaan tempat sampah (p=1,0) dengan kejadian stunting di wilayah kerja Puskesmas Lipulalongo. Semua pihak sebaiknya bahu membahu untuk memberikan edukasi kepada masyarakat tentang pentingnya ketersediaan sanitasi dasar untuk mencegah kejadian stunting.
Diseminasi Riset Kecerdasan Buatan Untuk Diagnosis Medis Berbasis Elektrokardiogram di Universitas Duta Bangsa Nuryani, Nuryani; Purnama, Budi; Legowo, Budi; Utari, Utari; Riyatun, Riyatun; Suharno, Suharno; Yunianto, Mohtar; Lestari, Wiji
SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Vol 12, No 2 (2023): November
Publisher : LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/semar.v12i2.75521

Abstract

Kegiatan pengabdian masyarakat ini memaparkan diseminasi riset yang bertujuan untuk memperkenalkan konsep kecerdasan buatan (artificial intelligence/AI) dalam diagnosis medis berbasis elektrokardiogram (EKG) kepada para dosen di Fakultas Ilmu Komputer, Universitas Duta Bangsa. Kegiatan ini bertujuan untuk meningkatkan pemahaman para dosen tentang potensi aplikasi AI dalam bidang kesehatan dan memberikan wawasan baru mengenai penggunaan EKG dalam diagnosis gangguan kesehatan. Para dosen diajak untuk mempelajari aplikasi AI dan teknik-teknik yang digunakan dalam analisis EKG. Hasil dari kegiatan ini menunjukkan bahwa para dosen memiliki minat yang tinggi dalam menerapkan kecerdasan buatan dalam bidang medis, khususnya dalam diagnosis penyakit jantung melalui EKG. Mereka memahami potensi besar yang dimiliki oleh AI dalam meningkatkan akurasi dan kecepatan diagnosis, serta membantu dalam pengambilan keputusan klinis yang lebih baik.
PENGARUH KOMPOS LIMBAH TALAS TERHADAP PERTUMBUHAN DAN HASIL TANAMAN MELON PADA TANAH ALLUVIAL Lestari, Wiji; Sirojul, Achmad Mulyadi; -, Asnawati
Jurnal Sains Pertanian Equator Vol. 2 No. 1: April 2013
Publisher : Fakultas Pertanian Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jspe.v2i1.2446

Abstract

Peningkatan produksi melon selain ditentukan oleh tehnik budidaya yang tepat juga ditentukan oleh faktor tanah. Pemanfaatan tanah alluvial sebagai lahan budidaya memiliki beberapa kelemahan pada sifat fisik, kimia dan biologi, sehingga perlu adanya usaha untuk memperbaiki kondisi tersebut, salah satunya ialah dengan penambahan bahan organik berupa kompos limbah talas.Penelitian ini bertujuan untuk mengetahui pengaruh dan mencari dosis kompos limbah talas yang terbaik untuk pertumbuhan dan hasil tanaman melon pada tanah aIluvial. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) yang terdiri dari 5 taraf perlakuan dan 4 ulangan. Setiap ulangan terdiri dari 4 sampel tanaman, sehingga jumlah seluruhnya ada 80 tanaman. Perlakuan yang dimaksud adalah sebagai berikut: Tanpa kompos limbah talas, 448 g/polybag kompos limbah talas, 1115 g/polybag kompos limbah talas, 1781 g/polybag kompos limbah talas, dan 2448 g/polybag kompos limbah talas. Variabel yang diamati adalah: Berat kering bagian atas tanaman (gram), volume akar (cm3), diameter buah (cm), berat buah (gram), ketebalan daging buah (cm) dan kadar gula buah (%). Berdasarkan hasil penelitian, pemberian kompos limbah talas sebanyak 2448 g/polybag, memberikan rerata tertinggi pada variabel pengamatan volume akar (13,5 cm), berat kering bagian atas tanaman (19,41 g), berat buah (972,23 g), dan diameter buah (11,95 cm), akan tetapi berbeda tidak nyata terhadap pemberian kompos limbah talas sebanyak 1781 g/polybag pada variabel berat buah dan diameter buah, dengan demikian dari hasil penelitian ini dapat katakan bahwa efesiensi pemberian kompos limbah talas terhadap pertumbuhan dan hasil tanaman melon pada tanah alluvial ialah sebanyak 1781 g/polybag kompos limbah talas. Kata Kunci : Kompos Limbah Talas, Melon, Tanah Alluvial
Co-Authors Achmad Mulyadi Sirojul Afifa, Nadhira Nuraini Agustin, Heidy Akmal, Baasith Khoiruddin Al-am, Maftah Rozani Ariasti, Dinar Asa Wahyu Purnama, Theodorus Asnawati - Atho’urrohman, Wifqi Atima, Vihi Awang Long, Zalizah binti Azizah, Nikmatul Basiroh Basiroh binti Rahmat, Azizah Budi Legowo Budi Purnama Cahya, Bambang Dwi Chandra, Dian Novita Dhiana, Azis Sukma Diana Sunardi Fadhillah, Dian Agil Farid Faqih, Muhammad Fariz, Nurwidya Florencia Grifit Joiner, Da Costa Hornay Hanafi, Christi Giovani Anggasta Hasanah, Herliyani Helena Fabiani Herawati Herawati Irawan, Rosyid Rafi Ismawati, Mega Yuniar Istiqomariyah, Ernita Jamaludin, Bani Lin, Kenzie Hara Maria Kanan Maulindar, Joni Mohtar Yunianto, Mohtar Muhtarom, Moh Mulyanto, Hari Nibras Faiq Muhammad Ninik Mudjihartini Novemy Triyandari Nugroho Nuryani Nuryani Pipin Widyaningsih Pradana, Afu Ichsan Prasetiyo, Dwi Pratiwi, Sandi Puspita Prawirohajo, Pukovisa Putra, Fendi Ardya Rahmawati, Anni Ray March Syahadat Reni Widyastuti Rifa'i, Rifan Riyatun, Riyatun Ronaldi, Abon Rubeda, Syukril Agaba Kalis Rudi Susanto Saidek, Abdul Rahim Shirly Rizki Kusumaningrum Silviana Pebruary Soe, Calvin Johnson Cannavaro Steffi Sonia Sudarsa, Caca Suharno Suharno Sulisyowati, Sulisyowati Sumarlinda, Sri Surya, Clarissa Winata Syahputra, Paisal Syam, Shaogi Tai, Jacky Anderson Thantawi, Tubagus Rifqy Utari Utari Victoria, Chelsea zulfa, nely