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Monitoring Jumlah Orang di Ruangan Menggunakan Teknologi IOT Nurlaili, Dewi; Maulindar, Joni; Hartanti, Dwi
JATISI Vol 12 No 1 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i1.10161

Abstract

The problem addressed in this research is the need to monitor the number of people entering and exiting a meeting room automatically and accurately. The objective of this study is to develop a system for monitoring the number of people in a meeting room using IoT technology to improve the efficiency of room capacity management. The method used in this research involves the application of an Arduino Uno microcontroller with HC-SR04 ultrasonic sensors to detect object movement and display the results on an LCD in real-time. The test results show that the system successfully detects the number of objects entering and exiting the room accurately. The LCD display shows numbers corresponding to the changes in the number of people inside the room with labels "In" and "Out." The first test showed that when 25 objects entered and 6 objects exited, the remaining number of visitors was 19. In the second test, with 7 objects entering and no objects exiting, the number of visitors inside the room was 7. The third test showed 23 objects entering and 3 objects exiting, leaving 20 people in the room. The fourth test, with 14 objects entering and no objects exiting, showed 14 people inside the room. The fifth test, with 10 objects entering and no objects exiting, resulted in 10 people remaining in the room. Overall, the test results indicate that the system functions well in detecting the number of people in the room in real-time and can be used for efficient room capacity monitoring.
QUALITY CHARACTERIZATION AND ANTIOXIDANT PROPERTIES OF ROSE PERIWINKLE CRUDE DRUGS Hartanti, Dwi; Charisma, Shintia Lintang; Rinawati, Jeri; Hamad, Alwani
Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan Vol 10 No 1 (2025): Jurnal Ilmiah Ibnu Sina
Publisher : Sekolah Tinggi Ilmu Kesehatan ISFI Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36387/jiis.v10i1.2320

Abstract

Leaves and flowers of rose periwinkle (Catharanthus roseus (L.) G. Don) are used for traditional diabetes management in Banyumas, Indonesia. This study evaluated the selected quality characters, total flavonoid content (TFC), total phenolic content (TPC), and the antioxidant activities of rose periwinkle crude drugs. Plant materials were collected from three locations in the Baturraden and Sumbang subdistricts and dried using an artificial heat drying rack to obtain crude drugs. The crude drugs' quality characters, TFC, TPC, and antioxidant activities were evaluated using standard methods. The quality characters of the crude drugs were specified as follows: loss on drying (9.12±0.50%), total ash (8.20±0.71%), acid-insoluble ash (0.24±0.06%), water extractable (28.82±6.77%), and ethanol extractable (35.17±1.79%). The chromatographic profile was generated from chloroform-methanol (8:2) separation over silica GF254. The TFC and TPC were 7.66±0.48 mg Quercetin equivalent (QE)/g and 7.27±1.07 mg Gallic acid equivalent (GAE)/g, respectively. The antioxidant activities were 148.95±12.00 Trolox equivalent (TE)/g for DPPH radical scavenging activity and 651.14±77.91 mM TE/g for FRAP. The DPPH radical scavenging activity and FRAP were weakly to moderately correlated to TPC and TFC. The phenolic compound and flavonoid contents of physicochemically-characterized rose periwinkle were not significantly correlated to their antioxidant activities.
FP GROWTH ALGORITHM MODELING FOR PRODUCT INVENTORY ANALYSIS Hartanti, Dwi; Atina, Vihi
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.v4i1.3390

Abstract

Pusaka Tani is a shop that provides agricultural needs such as fertilizers, rice seeds and plant medicines. Sales transactions at the Farmer's Library still use a manual system, namely by using notes as proof of sales transactions. The amount of data that accumulates results in less useful data. So that Pusaka Tani cannot know the products that are often purchased by consumers simultaneously which results in many products being sold out without the knowledge of Pusaka Tani which results when consumers are not going to buy these products and products that are rarely purchased by consumers become unsold. The purpose of this study is to model FP Growt in the analysis of product stock supply. In the research conducted, the support value and confidence value used is a minimum support value of 30% and a minimum confidence value of 70%. The results obtained from the research conducted are for the highest lift ratio value of 1.67 and the lowest is 1.09
Crude Drug Standardization, Formula Optimization, and Interaction Effects of a Five-Component Antioxidant Polyherbal Formulation Wardani, Tri Kusuma; Arianingsih, Elfa; Syarifah, Arini; Hamad, Alwani; Hartanti, Dwi
Jurnal Jamu Indonesia Vol. 10 No. 2 (2025): Jurnal Jamu Indonesia
Publisher : Tropical Biopharmaca Research Center, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jji.v10i2.353

Abstract

A polyherbal formulation was developed from java tea (Orthosiphon aristatus (Blume) Miq.), turmeric (Curcuma longa L.), seed-under-leaf (Phyllanthus niruri L.), cinnamon (Cinnamomum verum J. Presl), and ginger (Zingiber officinale Roscoe). This study aimed to standardize crude drugs, optimize polyherbal formulations, and evaluate the interaction effect of the crude drug mixture. Standardization followed these methods and compared them with the Indonesian Herbal Pharmacopeia (IHP) standards. The crude drugs were mixed in 26 different ratios, and each formulation was extracted using the decoction method. The antioxidant activities of the extracts were evaluated using 2-diphenyl-2-picryl hydroxyl scavenging (DPPH) radical scavenging activity and ferric-reducing antioxidant power (FRAP) assays. The optimum formula was obtained by antioxidant activity-based prediction using the simplex lattice design (SLD) method. The interaction effects of crude drug mixtures were determined using a statistical comparison method for the predicted and obtained antioxidant activities. Crude java tea, turmeric, cinnamon, and ginger were of good quality. The five-component formulation with optimum antioxidant activity consisted of java tea, turmeric, seed-under-leaf, cinnamon, and ginger crude drugs in a ratio of 20-20-40-10-10 with interaction effects of additive toward DPPH radical scavenging activity (7.05±0.94 µmol TE/g) and antagonistic toward FRAP (19.37±0.94 µmol TE/g). Formula 21 (mixture of java tea and seed-under-leaf crude drugs) showed the highest DPPH scavenging activity (6.39±0.16 µmol TE/g) with synergistic effects, while the synergistic, highest FRAP (23.74±0.03 µmol TE/g) was shown by Formula 13 (mixture of seed-under-leaf and ginger crude drugs). 
Implementasi Algoritma Naïve Bayes dan Certainty Factor pada Sistem Pakar Deteksi Penyakit Diabetes Mellitus Tahap Awal Ridwan, Alfian Junior; Atina, Vihi; Hartanti, Dwi; Putri, Desy Puspa
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 14, No 2 (2025): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v14i2.7327

Abstract

Penyakit diabetes mellitus merupakan masalah kesehatan yang semakin memprihatinkan di Indonesia, termasuk di Kota Surakarta. Rumah Sakit Universitas Sebelas Maret Surakarta adalah salah satu rumah sakit yang memiliki visi untuk meningkatkan layanan kesehatan dalam pemeriksaan penyakit diabetes mellitus. Proses pemeriksaan dan deteksi penyakit diabetes mellitus di Rumah Sakit Universitas Sebelas Maret Surakarta biasanya dilakukan dengan cara mengumpulkan riwayat rekam medis, pemeriksaan dan tes medis serta pemeriksaan tambahan lainya. Data yang sudah terkumpul disimpan dalam catatan medis fisik dalam bentuk kertas yang disimpan dalam arsip. Sistem tersebut memiliki masalah dalam hal keterbatasan aksesibilitas serta membutuhkan ruang penyimpanan yang besar, data manual yang begitu banyak menyebabkan tidak efisien dalam hal analisis penyakit diabetes mellitus dengan cepat dan tepat. Tujuan penelitian ini adalah untuk mengembangkan sebuah sistem pakar yang menggunakan algoritma Naïve Bayes dan Certainty Factor dalam deteksi penyakit diabetes mellitus pada tahap awal dengan studi kasus di Rumah Sakit Universitas Sebelas Maret Surakarta. Penulis pada penelitian ini menggunakan Metode SDLC (System Development Life Cycle) model Waterfall, pada proses implementasi sistem pakar menggunakan bahasa pemrograman php dan basis data MySQL. Hasil dari penelitian ini adalah sebuah sistem pakar yang memiliki fitur manajemen data pasien, data pengguna, data gejala, data penyakit, basis pengetahuan, data training dan konsultasi pasien. Sistem pakar dapat membantu tenaga medis dalam melakukan manajemen sistem pada penyakit diabetes mellitus dan membantu pasien dalam mendeteksi penyakit diabetes mellitus secara mandiri dan memberikan pengetahuan tentang penyakit tersebut.
Klasifikasi Penentuan Gizi Balita dengan Algoritma K-Nearest Neighbor (Studi Kasus: Puskesmas Bringin) Nurcholifah, Lilik; Hartanti, Dwi; Sundari, Sundari
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 14, No 2 (2025): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v14i2.7244

Abstract

Proses penentuan status gizi balita yang dilakukan di Puskesmas  Bringin menggunakan hitungan manual antropometri. Metode tersebut dirasa kurang dapat mendeteksi status gizi dalam waktu singkat karena pada perhitungannya cukup membutuhkan ketelitian sehingga kesalahan pengukuran dapat mempengaruhi akurasi dan validitas. Melalui penerapan algoritma K-nearest neighbors dalam penentuan gizi balita di Puskesmas Bringin diharapkan dapat memberikan solusi dari permasalahan yang ada. Penelitian ini bertujuan untuk merancang dan membuat sistem  klasifikasi penetuan gizi balita menggunakan metode K-Nearest Neighbor di Puskesmas Bringin. Metode penelitian menggunakan Extreme Programming dalam metode pengembangan sistem, kemudian dalam proses perancangan sistem menggunakan bahasa pemrograman PHP dan basis data MySQL. Hasil dari penelitian adalah sebuah sistem yang dapat digunakan untuk mempercepat dalam penentuan status gizi balita dan dapat membantu Puskesmas Bringin dalam melakukan penanganan kasus gizi balita.
Implementasi Sistem Prediksi Pemesanan Stok Barang Menggunakan Algoritma SARIMA dan Reorder Point: Studi Kasus Di Devie`S Print Copy Center & Digital Printing Ajeng Ayu Arumsari; Hartanti, Dwi; Oktaviani, Intan
Adopsi Teknologi dan Sistem Informasi (ATASI) Vol. 4 No. 1 (2025): Adopsi Teknologi dan Sistem Informasi (ATASI)
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/atasi.v4i1.2900

Abstract

Manajemen stok yang tepat menjadi kunci utama dalam industri digital printing untuk menghindari gangguan operasional akibat kekurangan atau kelebihan persediaan. Devie's Print Copy Center & Digital Printing menghadapi tantangan dalam menentukan jumlah dan waktu pemesanan stok secara akurat, terutama karena adanya fluktuasi permintaan musiman dan waktu tunggu pengadaan barang. Penelitian ini bertujuan untuk mengembangkan sistem prediksi kebutuhan stok berbasis algoritma Seasonal Autoregressive Integrated Moving Average (SARIMA) yang dikombinasikan dengan metode Reorder Point (ROP) dan Safety Stock. Data penjualan historis dari Januari 2021 hingga April 2025 dianalisis dengan mempertimbangkan peningkatan permintaan musiman pada bulan Juni dan Desember. Proses peramalan menggunakan SARIMA menghasilkan model terbaik dengan parameter (0, 1, 0)(0, 0, 2, 12) dan nilai Root Mean Square Error (RMSE) sebesar 1174,81. Sistem prediksi yang dikembangkan dalam bentuk aplikasi web ini dilengkapi dengan dashboard interaktif yang memberikan notifikasi otomatis saat stok melewati batas ROP, beserta rekomendasi jumlah pemesanan minimum. Hasil peramalan menunjukkan bahwa model SARIMA mampu memprediksi kebutuhan stok dengan akurasi yang baik, sehingga sistem ini dapat membantu meningkatkan efektivitas pengelolaan stok dan mendukung kelangsungan operasional bisnis digital printing secara lebih optimal.
KNOWLEDGE-BASED HIJAB PRODUCT SELECTION RECOMMENDATION SYSTEM AT CANDY SCARVES Nur Rohmani, Mayda; Hartanti, Dwi; Ayu Kusuma Asri, Anindhiasti
Jurnal Riset Informatika Vol. 7 No. 3 (2025): Juni 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1835.21 KB) | DOI: 10.34288/jri.v7i3.377

Abstract

The primary objective of this study is to construct a knowledge-driven hijab product selection recommendation system for Candy Scarves. This system is designed to help customers find hijabs that match their criteria by utilizing customer characteristics and product attributes. The study uses a knowledge-based recommendation approach supported by case-based techniques. The construction of the system is orchestrated through the application of the Rapid Application Development (RAD) paradigm, encompassing a sequence of iterative stages—ranging from requirement formulation and architectural design to accelerated prototyping and eventual deployment—thus privileging adaptability and user-centered refinement over linear progression. Data modeling using sample data totaling 25 hijab products and 6 attributes. The system provides recommendations based on criteria for hijab models, materials, hijab colors, skin colors, motifs, and prices. The empirical findings reveal that the hijab item exhibiting the utmost degree of similarity is the Umama Hijab with voal material, mocha hijab color, brown skin color, and plain motifs with a result of 0.90303. The results of this analysis are able to provide personal recommendations effectively and have the potential to increase customer satisfaction and product sales.
COMPARISON OF THE USE OF TELEGRAM AND BLYNK PLATFORMS IN IOT-BASED GAS LEAK DETECTION Apriliana, Anggie; Ichsan Pradana, Afu; Hartanti, Dwi
Jurnal Riset Informatika Vol. 7 No. 3 (2025): Juni 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v7i3.381

Abstract

This study discusses the comparison between two Internet of Things (IoT)-based communication platforms, namely Telegram and Blynk, in a gas leak detection this system utilizes the NodeMCU ESP8266 microcontroller to detect hazardous functions to detect gas via the MQ-2 sensor, and measures temperature and humidity using the DHT11 sensor. Additional components such as buzzers, LEDs, relays, and exhaust fans are used as markers and early response when a leak occurs. The development of this system applies This study applies Waterfall method, which consists of planning, needs analysis, design, and implementation stages. This study then focuses on evaluating the effectiveness of both platforms, especially in the aspect. terms of notification speed, ease of integration, and data visualization. Testing is carried out by comparing the response system when detecting a gas leak and sending warning notifications via the Telegram and Blynk applications. This study concluded that Telegram is superior in sending notifications in real time, while Blynk provides advantages in visualizing sensor data and remote device control. In conclusion, the combination of using Telegram and Blynk in one system provides more optimal results than using one platform alone. This system has been proven to increase the effectiveness and efficiency in detecting gas leaks and providing early warnings to users quickly and interactively.
SMART LOKER BERBASIS IOT DENGAN AUTENTIKASI QR CODE TERINTEGRASI DENGAN WEB Permana, Aditya Candra; Pradana, Afu Ichsan; Hartanti, Dwi
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.6573

Abstract

Locker merupakan tempat penyimpanan barang yang sering ditemukan di pusat perbelanjaan, perkantoran, sarana olahraga dan tempat umum lainnya. Namun, kebanyakan dari loker yang sering dijumpai masih menggunakan kunci fisik yang memiliki kekurangan, seperti rentan akan kehilangan kunci dan keamanan yang kurang. Maka dibuatlah sistem berbasis IoT dengan autentikasi qr-code yang terintegrasi dengan web. Sistem ini dapat digunakan pengguna untuk membuka dan mengunci locker melalui pemindai qr-code yang tampil secara acak oleh website. Metode yang digunakan untuk pengembangan sistem ini menggunakan esp32-cam untuk membaca qr-code, relay untuk mengatur kunci solenoid, dengan website untuk memonitoring ketersediaan dan lokasi locker secara real-time. Hasil dari pengujian yang dilakukan memperlihatkan bahwa sistem mampu memvalidasi QR-Code dan dapat mengendalikan kunci solenoid dengan baik serta integrasi antar perangkat dapat berjalan dengan baik.
Co-Authors Abdul Aziz, Fitroh Ahmad Abdul Haris Mulyadi Afifah, Dini Nur Afu Ichsan Pradana Agus Mulyono Agus Siswanto Agustina, Rinawati Ajeng Ayu Arumsari Alwani Hamad Andestia Sinaga, Risda Yunita Andi Aslindah, Andi Ani Aminiati, Ani Anindhiasti Ayu Kusuma Asri Anisa Rahmawati Apriliana, Anggie Aprilisa Arum Sari Ardi Wiranata Arianingsih, Elfa Arif Wirahadi Kusuma, Arif Wirahadi Arinda Nur Cahyani Arini Syarifah Arum Sari, Aprilisa Asmiyenti Djaliasrin Djalil Awaludin, Toni Ayuningtyas, Yulita Pratiwi Baskoro Adi Prayitno Bhactiar , Rio Rizq Nur Binar Asrining Dhiani Bondan Wahyu Pamekas Buana Perdana, Rendi Charisma, Shintia Lintang Christyana Anggraeni, Christyana Cing, Marta Tania Gabriel Ching Diah Permatasari, Diah Diniatik Ebel, Rainer Eddy Soemardi Eka Prasetyo Agung Pambudi Eli Nurlaeli, Eli Emi Rahma Wulandari, Emi Rahma Eny Tantini Setiatin Esih Jayanti Fadlilah, Intan Nur Farradhi, Muhammad Fathurahman, Jofan Ferdinand Munthe, Hans Furqan Furqan, Furqan Ganesha, Irena Gunawan Indrayanto Gustina Nurkhayatun, Gustina Handoyo Handoyo Haq, M Tsabit Sofatul Harsanto Hartanto, Didik Mayur Hasanah, Herliyani I WAYAN SUDARTA Ika Yuni Astuti Imam Purnomo Sugiarto, Imam Purnomo Indri Hapsari Indriyani, Tiara Iskandar Soedirman, Iskandar Iskandar Sudirman Istifah Istifah, Istifah JOKO SUSANTO Khairunnisa, Rifdah Yuri Kinanti, Khisi Kristiana , Dorothea Dian Kusumawati, Erlina Kumala Lero, Eunike Erlita Lestari, Fany Lia Amelia Linda Kurniawati, Linda Lindawati Damidjan, Lindawati M Sholeh M. Gigih Panji Mahardika, M. Gigih Panji Mandiri, Puput Dwi Mauliana, Dinda Maulindar, Joni Mawarni, Dinda Rima Mutmainah Melani Setiowati Muhtarom, Moh Nasrun Hidayat, Nasrun Naveed, Mubshair Nia Kurnia Niken Pratiwi, Niken Nofikasari, Indah Nofrianti Nofrianti Noor Erma Sugijanto Noordi, Daffa Rizki Putra Nunuk Aries Nurulita Nur Rohmani, Mayda Nurcholifah, Lilik Nurlaili, Dewi Nurmalitasari Nurmalitasari Nurwijayanti Oktaviani, Intan Permana, Aditya Candra Permatasari, Hanifah Permatasari, Indah Sartika Pradani, Dea Yulinestria Prastowo, Irfan Agus Pratama, Fandi Aziz Pri Iswati Utami Purwanti, Diah Intan Puspitasari, Adinda Putra, Enggar Wijaya Putri, Desy Puspa Putro, Herdayanto Sulistyo Ragil Setiyabudi, Ragil Raharisti, Nur Arifah Rahman, Agung Dwi Rahmani Prastiwati Ranti Kartikasari, Ranti Rateb, Mostafa Ezzat Ratno Subekhi, Ratno Rema Rahmalia, Rema Renny Amelia Retno Wahyuningrum Ridwan, Alfian Junior Ridwan, Avin Nolis Rinawati, Jeri Risda Yunita, Risda Riyad Khomsidin, Riyad Roselina Wulandari Rudi Susanto Sabikis Sabikis, Sabikis Sagala, Agus Junianto Sajidan Santika, Dita Santosa, Tri Djoko Saputra, Rafi'i Dwi Saputro, Nurbagus Sekar, Lola Shella Diana Oktaviani, Shella Diana Sopingi SRI SUMARLINDA Sudarso Sudarso Sugiarto, Muhammad Aqsha Rizki Sugijanto, Noor Erma N Sundari Sundari Supriyanto, July Suryani, Fajar Sutopo Sutopo Syah Putri, Tina Syawaludin, M Ainur Tatik Mulyati Theo Santoso, Daniel Tjiptasurasa Tjiptasurasa, Tjiptasurasa Tri Utami Kurniawati, Elizabeth Triyo Nova, Triyo Unik Fajriyah, Unik Vihi Atina Wahyu Utaminingrum Wardani, Eunike Rindayu Pradnya Paramitya Wardani, Tri Kusuma Widya Cahya Ariswati, Widya Cahya Wijanarko, Restu Gilang Wiranti Sri Rahayu Wongso, Suwidji Yulianingsih, Nur Yulianti , Henti Zaenuar Erfandi