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Bankruptcy Prediction Analysis Based on the Altman Z-Score, Springate, and Zmijewski Methods (Case Study on PT. Net Visi Media Tbk) Rosihana, Athiy Dina; Ridwan, Achmad; Saputra, Wawan; Madewi, Astuti
Journal of Economics and Social Sciences (JESS) Vol. 4 No. 1 (2025): Journal of Economics and Social Sciences (JESS)
Publisher : CV. Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/jess.v4i1.654

Abstract

Financial difficulties are a situation that companies are very avoidable. Every establishment of a company is expected to generate profits so that it is able to survive and develop in the long term and can prosper the company owner. The purpose of this study is to find out the prediction of bankruptcy in PT. Net Visi Media Tbk using the Altman Z-Score model. Springate model, and Zmijewski model. This study uses a quantitative approach. The sample in this study is PT. Net Visi Media Tbk. The sampling technique is purposive sampling and the data used is financial statement data for the 2021-2023 period. The data analysis technique used in this study is a descriptive analysis technique. The results showed that in the Altman Z-Score model and the Springate model of PT. Net Visi Media Tbk is experiencing financial difficulties or bankruptcy. Meanwhile, in the Zmijewski model of PT. Net Visi Media Tbk did not experience financial difficulties or did not experience bankruptcy.
Sistem Layanan Pelanggan Menggunakan BOT WHATSAPP Pada Usaha Kaos Sablon Nugroho, Soma Setiawan Ponco; Miharja, Muhammad Najamuddin Dwi; Ridwan, Achmad; Suprapto, Suprapto
Jurnal Pelita Teknologi Vol 18 No 1 (2023): Maret 2023
Publisher : Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/pelitatekno.v18i1.2627

Abstract

Screen printing t-shirt business on a large scale level can be included as a manufacturing business. In the screen printing t-shirt business, business actors often focus more on t-shirt production and printing designs, so that the container for customer information is often overlooked. With more and more customers in the screen printing t-shirt business, businesses often take up their time in serving and providing information to customers. The media that customers usually use in asking for information is usually via WhatsApp. The implementation of customer service using whatsapp bots in screen printing t-shirt businesses is expected to be a solution so that good relations are maintained between customers and businesses.
Analysis of Educator and Education Personnel Standards in Indonesia Ramadhan, Fitri Nur; Lanasari, Rossy; Cahyani, Septia Dwi; Nurjayadi, Muktiningsih; Ridwan, Achmad
Jurnal Inovasi Pendidikan MH Thamrin Vol. 9 No. 1 (2025): Jurnal Inovasi Pendidikan MH Thamrin
Publisher : LPPM Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jipmht.v9i1.2541

Abstract

Education is an absolute necessity for everyone to have high competitiveness, especially in the current era of globalization, without having adequate competitiveness, it is difficult for a person to face increasingly competitive labor competition. The aim of this research is to determine the functions and problems of standardization of educators and education personnel in Indonesia. The method used in this research is qualitative library research, namely a type of research that refers to literary treasures such as book literature, laws, government regulations, articles and e-journals. The research results show that the function of standardizing educators and education personnel is: increasing professionalism, improving the quality of education, recognition and certification. Problems in implementing standards for educators and educational staff are: limited flexibility, lack of facilities and training for educators in the regions, heavy administrative burden. Solutions: flexibility in standards, improved educational infrastructure and facilities, increased access to training and certification, reduced administrative burden.
Analisis Kualitas Pelayanan Terhadap Kepuasan Pelanggan Mie G Kabupaten Kudus Menggunakan Metode Servqual dan Importance Performance Analysis (IPA) Rully Astri Hildayati; Ridwan, Achmad; Aman, Syahrial
ILTEK : Jurnal Teknologi Vol. 20 No. 01 (2025): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v20i01.219

Abstract

Industri kuliner Indonesia berkembang pesat dan diperkirakan akan terus berkembang khususnya pada sektor makanan dan minuman. Mie G sendiri merupakan brand jaringan restoran mie pedas nomor 1 di Indonesia. Penelitian ini bertujuan untuk menganalisis kualitas pelayanan Mie G di Kabupaten Kudus terhadap kepuasan pelanggan dan mengidentifikasi atribut - atribut pelayanan yang perlu diperbaiki untuk meningkatkan kepuasan pelanggan. Metode yang digunakan adalah Servqual dan Importance Performance Analysis (IPA). Proses penelitian ini meliputi pengumpulan data melalui kuesioner yang dibagikan kepada pelanggan, di analisi menggunakan Metode Servqual untuk mengukur menilai gap kualitas layanan berdasarkan lima dimensi utama, serta penerapan metode IPA untuk mengidentifikasi aspek-aspek yang memerlukan perbaikan berdasarkan tingkat kepentingan dan kinerja. Berdasarkan hasil penelitian menunjukkan bahwa adanya kesenjangan antara harapan pelanggan dan layanan yang diterima, dengan nilai gap Servqual sebesar -0,4012. Artinya, kualitas pelayanan yang diberikan masih belum sesuai dengan ekspektasi pelanggan dan untuk metode Importance Performance Analysis (IPA), prioritas perbaikan utama harus difokuskan pada Kuadran Prioritas Utama (Concentrate Here). atribut yang masuk dalam kuadran A, ada beberapa aspek yang perlu segera diperbaiki, seperti kebersihan peralatan makan, konsistensi rasa makanan, kesiapan pegawai dalam membantu pelanggan, serta kenyamanan dan kebersihan area makan.
Comparison of the Accuracy of Stratified Random Sampling and Simple Random Sampling Methods in National Assessment (AN) Pribadi, Januar; Ridwan, Achmad; Tjalla, Awaluddin
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51460

Abstract

Sampling methods are crucial for large-scale assessments. International surveys like PISA, TIMSS, and PIRLS use stratified random sampling (StRS) to enhance estimation accuracy, ensure representation of all subpopulations, and provide efficient administration. Similarly, Indonesia's National Assessment (AN) applies StRS, dividing populations by school size, class size, and gender. However, the accuracy of the AN sampling method, including its reliability and validity, has not been tested since its 2021 implementation. This study compares the reliability and validity of the AN sampling method to simple random sampling (SRS). Reliability is assessed by the consistency of estimates across repeated sampling, indicated by small standard error (SE) and confidence intervals (CI). Validity measures how accurately sample estimates reflect population parameters, evaluated through Mean Square Error (MSE). Using AN data from 1.9 million junior high school students out of 4.2 million, the analysis shows no significant differences in national population parameters between StRS and SRS. Both methods produce similar mean estimates (55) and standard deviations (10.7). However, StRS demonstrates greater variability in weights, reflecting its ability to account for sampling structure. At the school level, StRS outperforms SRS, yielding narrower CI and MSE ranges, highlighting its superior reliability. While MSE differences are statistically significant, their practical impact is minor due to the small effect size and large dataset. These results suggest StRS is more reliable for school-level reporting.
Penentuan Strategi Promosi Digital Klinik Kecantikan Berbasis Retensi Konsumen dengan Metode TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) Nuridayanti, Nuridayanti; Josua, Dian Pertiwi; Sarifah, Iva; Ahmad, Nurul Qomariyah; Jubaedah, Lilis; Ridwan, Achmad; Rohima , Azizah Aulia
Jurnal Tata Rias Vol. 14 No. 2 (2024): Jurnal Tata Rias
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtr.14.2.10

Abstract

This study aims to determine the most effective digital promotion strategy for increasing customer retention at Beauty Clinics. Five main criteria are set as the basis for assessment, namely engagement rate, content relevance, platform reach, customer feedback responsiveness, and conversion rate. This study involved five alternative digital promotion strategies: (1) interactive social media campaign, (2) digital loyalty program, (3) collaboration with influencers, (4) segmented paid advertising, and (5) SEO and website optimization. The assessment was conducted by five experts in the fields of digital marketing and beauty clinic management, utilizing a 4-point Likert scale. TOPSIS analysis was conducted through the stages of decision matrix normalization, weighting, determining positive and negative ideal solutions, and calculating Euclidean distance and preference values (Closeness Coefficient). The results showed that the interactive social media campaign strategy obtained the highest Closeness Coefficient value of 0.812, followed by the digital loyalty program (0.748) and collaboration with influencers (0.691). Meanwhile, the SEO website optimization strategy obtained the lowest value (0.581). These results indicate that a direct social interaction-based promotional approach is more effective in increasing customer loyalty in the service sector.
Penentuan Strategi Promosi Digital Klinik Kecantikan Berbasis Retensi Konsumen dengan Metode TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) Nuridayanti, Nuridayanti; Josua, Dian Pertiwi; Sarifah, Iva; Ahmad, Nurul Qomariyah; Jubaedah, Lilis; Ridwan, Achmad; Rohima , Azizah Aulia
Jurnal Tata Rias Vol. 14 No. 2 (2024): Jurnal Tata Rias
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtr.14.2.10

Abstract

This study aims to determine the most effective digital promotion strategy for increasing customer retention at Beauty Clinics. Five main criteria are set as the basis for assessment, namely engagement rate, content relevance, platform reach, customer feedback responsiveness, and conversion rate. This study involved five alternative digital promotion strategies: (1) interactive social media campaign, (2) digital loyalty program, (3) collaboration with influencers, (4) segmented paid advertising, and (5) SEO and website optimization. The assessment was conducted by five experts in the fields of digital marketing and beauty clinic management, utilizing a 4-point Likert scale. TOPSIS analysis was conducted through the stages of decision matrix normalization, weighting, determining positive and negative ideal solutions, and calculating Euclidean distance and preference values (Closeness Coefficient). The results showed that the interactive social media campaign strategy obtained the highest Closeness Coefficient value of 0.812, followed by the digital loyalty program (0.748) and collaboration with influencers (0.691). Meanwhile, the SEO website optimization strategy obtained the lowest value (0.581). These results indicate that a direct social interaction-based promotional approach is more effective in increasing customer loyalty in the service sector.
Integrating Graded and Nominal Response Models to Analyze User Preferences in AI-, AR-, and VR-Based Virtual Try-On for Personalized Beauty Experiences Nuridayanti, Nuridayanti; Josua, Dian Pertiwi; Rahayu, Wardani; Ridwan, Achmad
Information Technology Education Journal Vol. 4, No. 3, August (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i3.8696

Abstract

The increasing adoption of digital beauty technology through Virtual Try-On (VTO) platforms powered by artificial intelligence (AI), augmented reality (AR), and virtual reality (VR) necessitates a precise understanding of user preferences. This study aims to model user responses to VTO features using Item Response Theory (IRT), specifically the Graded Response Model (GRM) for ordinal-scale items and the Nominal Response Model (NRM) for non-ordinal categorical items. A total of 15 items were analyzed using GRM to assess users’ perceptions of AI accuracy, feature convenience, and visual satisfaction. Additionally, five non-ordinal items were modeled using NRM to capture explicit preferences for specific VTO functionalities, such as digital interaction and visual simulation. The results show that the average user preference score was 3.02 out of 5 (SD = 1.03), while the total preference score averaged 60 out of 100 (SD = 10.7), with response distributions approximately normal (skewness = 0.12; kurtosis = -0.24). The item information curves from the GRM indicated that several items contributed high information (above 2.0), effectively differentiating users within the −1 to +1 ability range. In the NRM analysis, the “real-time color visualization feature” exhibited the highest utility parameter (c = 1.98), indicating a strong user preference for this feature. The integration of GRM and NRM enables a more nuanced and flexible mapping of user preferences. This study presents a novel psychometric approach by combining GRM and NRM within a single VTO context to simultaneously capture both ordinal and nominal dimensions of user experience, which has not been extensively explored in prior research. These findings provide meaningful insights for the development of adaptive, personalized, and intelligent AI-based VTO systems to enhance the quality of user experience in digital beauty applications.
Bagaimanakah Pengaruh Data Analytics Terhadap Pengembangan Pemasaran di Era Digital Ridwan, Achmad; Nasution, Edwin Sugesti; Judijanto, Loso; Agung, Eka Adnan; Irmadiani, Nadia Dwi
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.3732

Abstract

Era digital telah membawa perubahan mendasar dalam strategi pemasaran, di mana data analytics menjadi fondasi utama untuk mendukung pengambilan keputusan yang lebih efektif. Penelitian ini bertujuan untuk menganalisis pengaruh data analytics terhadap pengembangan pemasaran, khususnya dalam konteks usaha mikro, kecil, dan menengah (UMKM) di Indonesia. Metode yang digunakan adalah studi literatur dengan membandingkan fenomena empiris dan pendekatan teoretis dari berbagai penelitian terdahulu. Hasil kajian menunjukkan bahwa data analytics berperan signifikan dalam meningkatkan efektivitas segmentasi, targeting, dan positioning (STP), sekaligus memperkuat customer engagement dan brand awareness melalui personalisasi serta interaksi digital yang lebih relevan.Selain memberikan peluang strategis, penelitian ini juga menemukan adanya tantangan besar dalam penerapan data analytics di sektor UMKM. Hambatan yang dihadapi meliputi rendahnya literasi digital, keterbatasan infrastruktur, biaya implementasi, serta resistensi budaya organisasi. Faktor-faktor ini memperlihatkan adanya kesenjangan antara teori yang menekankan pentingnya data analytics dengan realitas implementasi di lapangan. Meskipun demikian, dengan dukungan regulasi pemerintah, penguatan literasi digital, serta pendampingan teknis dari berbagai pihak, tantangan ini dapat diatasi sehingga UMKM dapat memaksimalkan manfaat data analytics.Implikasi teoretis dari penelitian ini adalah memperkaya literatur pemasaran digital dengan menegaskan peran data analytics sebagai sumber daya strategis yang mendorong agility dan integrasi omnichannel. Sementara itu, implikasi praktisnya adalah memberikan rekomendasi bagi UMKM untuk menjadikan data analytics sebagai bagian inti dari strategi bisnis dalam menghadapi persaingan global. Penelitian ini menyimpulkan bahwa data analytics bukan sekadar alat analisis, tetapi pilar penting dalam membangun keberlanjutan bisnis dan keunggulan kompetitif di era digital. Keywords: Data analytics, pemasaran digital, customer engagement, UMKM.
A Systematic Review: Cost-Effectiveness of SGLT2 Inhibitors versus DPP-4 Inhibitors as Add-on to Metformin Hanifiyah, Izzatu Al; Nita, Yunita; Libriansyah; Ridwan, Achmad
JURNAL FARMASI DAN ILMU KEFARMASIAN INDONESIA Vol. 12 No. 2 (2025): JURNAL FARMASI DAN ILMU KEFARMASIAN INDONESIA
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jfiki.v12i22025.256-263

Abstract

Background: The prevalence of type 2 diabetes mellitus (T2DM) is increasing worldwide. Sodium-glucose cotransporter-2 inhibitors (SGLT2i) and dipeptidyl peptidase-4 inhibitors (DPP-4i) are two second-line therapy alternatives for T2DM patients inadequately controlled with metformin. Objective: This study aimed to systematically review the cost-effectiveness of combining metformin+SGLT2i vs metformin+DPP-4i for T2DM treatment. Methods: A systematic search was conducted in PubMed, Scopus, and ScienceDirect for articles published between 2015-2025, using predefined keywords and following the PRISMA and PICOS frameworks (P: T2DM patients uncontrolled on metformin monotherapy; I: Metformin+SGLT2i therapy; C: Metformin+DPP-4i therapy; O: Cost, clinical outcomes (HbA1c% reduction), Incremental Cost-Effectiveness Ratio (ICER) values, Quality Adjusted Life Years (QALY); S: Study with cost-effectiveness analysis design). Additional studies were identified through reference screening. Eligible articles were independently reviewed and assessed for reporting quality using the CHEERS-2022 standards. Results: Five studies met the inclusion criteria. Considerable heterogeneity was observed with mean patient ages ranging from 55-61 years old and baseline HbA1c levels from 7.9%-9.4%. The studies were conducted in the US, UK, Mexico, and Greece, all funded by the pharmaceutical industry, and used economic models. Despite these differences, all studies consistently demonstrated that combining metformin+SGLT2i was more cost-effective than metformin+DPP-4i. SGLT2i improved the quality of life by 0.032–0.04 QALYs, reduced hypoglycemia, and provided additional benefits for patients with cardiovascular risk, although it was associated with higher initial costs. Conclusion: This review showed that the combination of metformin+SGLT2i was more cost-efficient and effective in managing T2DM than the combination of metformin+DPP-4i.
Co-Authors Abdillah, Nur Achmad Ridwan Afriadi, Bambang Agung Prabowo Agung Prihandono Agung, Eka Adnan Ahmad Arif Ahmad, Nurul Qomariyah Ahmad, Saiful Aman, Syahrial Andika, Andika Prasetya Andy Wahyu Hermanto, Andy Wahyu Anita Nur Lely, Anita Nur Annisa, Cindy Ermintia Arianda, Yoga Dwi Arif Mudi Priyatno Arlinwibowo, Janu Astika Tafrikul Khafidhoh, Astika Tafrikul Athiy Dina Rosihana Athoillah, Mohamad Anton Awaluddin Tjalla Barkah, Eka Budi Gunawan Cahyani, Septia Dwi Cikita Berlian Hakim Darmiyanti, Waskitarini Delima Sitanggang, Delima Desi, Desi Handayani Diana Laily Fithri Dinar Riftiasari Eko Widodo Fadilah, Astri FAISAL MADANI Fajar Nugraha Febri Dwi Anto, Febri Dwi Firmansyah, Nunung Agus GHAZI PRATAMA, TAFTAZANI Ghufrooni, Rifqi Ginting, Riski Titian Hana, Fida Maisa Hanifiyah, Izzatu Al Heri Pramono Putro, Heri Pramono Himayati, Ade Ima Afifa HS, Christnatalis Hutasoit, Marni Ibnu Salman, Ibnu Iva Sarifah Josua, Dian Pertiwi Jovianto, Andrean Jubaedah, Dedah Jubaedah, Lilis Judijanto, Loso Junirianto, Eko Komarudin Komarudin Kuncoro, Ignasius Dwi Kurniadewi, Fera Lanasari, Rossy Legiran Legiran Libriansyah Ludmilla, Rafika Madewi, Astuti Maharjan, Kailie Manday, Dhanny Rukmana Maricar, Hudzaifah Muhammad Mastura, Mastura Merrydian, Siska Miharja, Muhammad Najamuddin Dwi Muadzah, Muadzah Muchlas Suseno Muhammad Najamuddin Dwi Miharja Muktiningsi, Muktiningsi Muktiningsih Nurjayadi N. Nurjanah Nadia Dwi Irmadiani Narulita, Lisa Nasution, Edwin Sugesti Ningsih, Lidya Nizam, Zain Nugraheni, Ariyanti Sri Nurcahya, Fikri NURHIDAYATI, SAFITRI Nuridayanti, Nuridayanti Nurwijayanti Octiva, Cut Susan Othman, M.A. Perangin Angin, Despaleri Pratama, Taftazani Ghazi Pratiwi, Cindya Yunita Pribadi, Januar Puspitaningtyas, Dyah Ayu Raihanah, Dinnah Ramadhan, Fitri Nur Ramadhan, M. Irfan Rini, Indah Mustika Riyadi Riyadi Rizky Maulana, Rizky Rochmad Winarso Rohima , Azizah Aulia Rully Astri Hildayati Sabilla, Zahara Sam Saputra, Vernanda Saputra, Vernanda Sam Satybaldy, Daniyar Setiadi, Sandi Siregar, Saut Dohot Siti Azizah Sri Mulyani Sudarmoyo, Dhadhang Tri Sugeng Priyanto, Sugeng Suharjono, Suharjono Suprapto Suprapto Susanti, Diah Ayu Susilo, Ahmad Dwi Tengku Riza Zarzani N Togar Timoteus Gultom Trihadi Prasetya, Trihadi Ully Muzakir Ulwi, Krim Utami, Eli Wahyu Budiarto, Balla Wahyu Sri Astutik Wardani Rahayu Wawan Saputra Wella, Wella Aulia Putri Widyadi, Elvan Dwi Wijaya, Dedy Achmat Yennimar, Yennimar Yoga Tri Nugraha Yuli Rahmawati Yunida, Helvy Yunita Nita Yunus Mustaqim, Yunus Yusmaniar Yusmaniar Yuyun dwi astutik, Yuyun dwi